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Koch, C. P., Lemeshko, M., &; Sugny, D. (2019). Quantum control of molecular rotation. Reviews of Modern Physics. American Physical Society.https://doi.org/10.1103/revmodphys.91.035005 
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Censor-Hillel, K., Dory, M., Korhonen, J., &; Leitersdorf, D. (2019). Fast approximate shortest paths in the congested clique. In Proceedings of the 2019 ACM Symposium on Principles of Distributed Computin (pp. 74–83). Toronto, ON, Canada: ACM.https://doi.org/10.1145/3293611.3331633 
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Casillas Perez, B. E. (2019). Collective defenses of garden ants against a fungal pathogen. Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:6435 
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Narasimhan, M. (2019). Clathrin-Mediated endocytosis, post-endocytic trafficking and their regulatory controls in plants . Institute of Science and Technology Austria.https://doi.org/10.15479/at:ista:th1075 
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Assen, F. P. (2019). Lymph node mechanics: Deciphering the interplay between stroma contractility, morphology and lymphocyte trafficking. Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:6947 
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Marhavá, P., Hörmayer, L., Yoshida, S., Marhavý, P., Benková, E., &; Friml, J. (2019). Re-activation of stem cell pathways for pattern restoration in plant wound healing. Cell. Elsevier.https://doi.org/10.1016/j.cell.2019.04.015 
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Tabata, S., Jevtic, M., Kurashige, N., Fuchida, H., Kido, M., Tani, K.,https://doi.org/10.1016/j.isci.2019.11.025__Ojida, A. (2019). Electron microscopic detection of single membrane proteins by a specific chemical labeling. IScience. Elsevier.https://doi.org/10.1016/j.isci.2019.11.025 
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Kampjut, D., &; Sazanov, L. A. (2019). Structure and mechanism of mitochondrial proton-translocating transhydrogenase. Nature. Springer Nature.https://doi.org/10.1038/s41586-019-1519-2 
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Mckenzie, C. (2019). Design and characterization of methods and biological components to realize synthetic neurotransmission. Institute of Science and Technology Austria.https://doi.org/10.15479/at:ista:7132 
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Castro, J. P., Yancoskie, M. N., Marchini, M., Belohlavy, S., Hiramatsu, L., Kudka, M.,https://doi.org/10.7554/eLife.42014__Chan, Y. F. (2019). An integrative genomic analysis of the Longshanks selection experiment for longer limbs in mice. ELife. eLife Sciences Publications.https://doi.org/10.7554/eLife.42014 
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Hofmann, A. C., Jirovec, D., Borovkov, M., Prieto Gonzalez, I., Ballabio, A., Frigerio, J.,https://doi.org/10.48550/arXiv.1910.05841__Katsaros, G. (n.d.). Assessing the potential of Ge/SiGe quantum dots as hosts for singlet-triplet qubits. arXiv.https://doi.org/10.48550/arXiv.1910.05841 
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Valosková, K., Bicher, J., Roblek, M., Emtenani, S., György, A., Misova, M.,https://doi.org/10.7554/elife.41801__Siekhaus, D. E. (2019). A conserved major facilitator superfamily member orchestrates a subset of O-glycosylation to aid macrophage tissue invasion. ELife. eLife Sciences Publications.https://doi.org/10.7554/elife.41801 
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Valosková, K. (2019). The role of a highly conserved major facilitator superfamily member in Drosophila embryonic macrophage migration. Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:6546 
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Espinoza Martinez, C. (2019). Parvalbumin+ interneurons enable efficient pattern separation in hippocampal microcircuits. Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:6363 
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Huang, M., Fu, H., Chatterjee, K., &; Goharshady, A. K. (2019). Modular verification for almost-sure termination of probabilistic programs. In Proceedings of the 34th ACM International Conference on Object-Oriented Programming, Systems, Languages, and Applications  (Vol. 3). Athens, Greece: ACM.https://doi.org/10.1145/3360555 
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Chatterjee, K., Goharshady, A. K., Okati, N., &; Pavlogiannis, A. (2019). Efficient parameterized algorithms for data packing. Proceedings of the ACM on Programming Languages. ACM.https://doi.org/10.1145/3290366 
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Chatterjee, K., Goharshady, A. K., &; Pourdamghani, A. (2019). Probabilistic smart contracts: Secure randomness on the blockchain. In IEEE International Conference on Blockchain and Cryptocurrency. Seoul, Korea: IEEE.https://doi.org/10.1109/BLOC.2019.8751326 
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Chatterjee, K., Goharshady, A. K., &; Pourdamghani, A. (2019). Hybrid Mining: Exploiting blockchain’s computational power for distributed problem solving. In Proceedings of the 34th ACM Symposium on Applied Computing (Vol. Part 7772, pp. 374–381). Limassol, Cyprus: ACM.https://doi.org/10.1145/3297280.3297319 
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Wang, P., Fu, H., Goharshady, A. K., Chatterjee, K., Qin, X., &; Shi, W. (2019). Cost analysis of nondeterministic probabilistic programs. In PLDI 2019: Proceedings of the 40th ACM SIGPLAN Conference on Programming Language Design and Implementation (pp. 204–220). Phoenix, AZ, United States: Association for Computing Machinery.https://doi.org/10.1145/3314221.3314581 
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Chatterjee, K., Goharshady, A. K., Goyal, P., Ibsen-Jensen, R., &; Pavlogiannis, A. (2019). Faster algorithms for dynamic algebraic queries in basic RSMs with constant treewidth. ACM Transactions on Programming Languages and Systems. ACM.https://doi.org/10.1145/3363525 
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Chatterjee, K., Fu, H., &; Goharshady, A. K. (2019). Non-polynomial worst-case analysis of recursive programs. ACM Transactions on Programming Languages and Systems. ACM.https://doi.org/10.1145/3339984 
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Scarselli, D., Kühnen, J., &; Hof, B. (2019). Relaminarising pipe flow by wall movement. Journal of Fluid Mechanics. Cambridge University Press.https://doi.org/10.1017/jfm.2019.191 
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Oochi, A., Hajny, J., Fukui, K., Nakao, Y., Gallei, M. C., Quareshy, M.,https://doi.org/10.1104/pp.19.00201__Hayashi, K. (2019). Pinstatic acid promotes auxin transport by inhibiting PIN internalization. Plant Physiology. ASPB.https://doi.org/10.1104/pp.19.00201 
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Schwayer, C., Shamipour, S., Pranjic-Ferscha, K., Schauer, A., Balda, M., Tada, M.,https://doi.org/10.1016/j.cell.2019.10.006__Heisenberg, C.-P. J. (2019). Mechanosensation of tight junctions depends on ZO-1 phase separation and flow. Cell. Cell Press.https://doi.org/10.1016/j.cell.2019.10.006 
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Kopf, A. (2019). The implication of cytoskeletal dynamics on leukocyte migration. Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:6891 
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Renkawitz, J., Kopf, A., Stopp, J. A., de Vries, I., Driscoll, M. K., Merrin, J.,https://doi.org/10.1038/s41586-019-1087-5__Sixt, M. K. (2019). Nuclear positioning facilitates amoeboid migration along the path of least resistance. Nature. Springer Nature.https://doi.org/10.1038/s41586-019-1087-5 
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Contreras, X., &; Hippenmeyer, S. (2019). Memo1 tiles the radial glial cell grid. Neuron. Elsevier.https://doi.org/10.1016/j.neuron.2019.08.021 
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Adamowski, M., Li, L., &; Friml, J. (2019). Reorientation of cortical microtubule arrays in the hypocotyl of arabidopsis thaliana is induced by the cell growth process and independent of auxin signaling. International Journal of Molecular Sciences. MDPI.https://doi.org/10.3390/ijms20133337 
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Hafner, C., Schumacher, C., Knoop, E., Auzinger, T., Bickel, B., &; Bächer, M. (2019). X-CAD: Optimizing CAD Models with Extended Finite Elements. ACM Transactions on Graphics. ACM.https://doi.org/10.1145/3355089.3356576 
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Igler, C. (2019). On the nature of gene regulatory design - The biophysics of transcription factor binding shapes gene regulation. Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:6371 
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Agrawal, N., Choueiri, G. H., &; Hof, B. (2019). Transition to turbulence in particle laden flows. Physical Review Letters. American Physical Society.https://doi.org/10.1103/PhysRevLett.122.114502 
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Rangel Guerrero, D. K. (2019). The role of CCK-interneurons in regulating hippocampal network dynamics. Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:6849 
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Käfer, K., Malagon-Vina, H., Dickerson, D., O’Neill, J., Trossbach, S. V., Korth, C., &; Csicsvari, J. L. (2019). Disrupted-in-schizophrenia 1 overexpression disrupts hippocampal coding and oscillatory synchronization. Hippocampus. Wiley.https://doi.org/10.1002/hipo.23076 
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Käfer, K. (2019). The hippocampus and medial prefrontal cortex during flexible behavior. Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:6825 
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Allini, E. N., Skórski, M., Petura, O., Bernard, F., Laban, M., &; Fischer, V. (2018). Evaluation and monitoring of free running oscillators serving as source of randomness. IACR Transactions on Cryptographic Hardware and Embedded Systems. International Association for Cryptologic Research.https://doi.org/10.13154/tches.v2018.i3.214-242 
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Chatterjee, K., Dvoák, W., Henzinger, M. H., &; Svozil, A. (2018). Quasipolynomial set-based symbolic algorithms for parity games. In 22nd International Conference on Logic for Programming, Artificial Intelligence and Reasoning (Vol. 57, pp. 233–253). Awassa, Ethiopia: EasyChair.https://doi.org/10.29007/5z5k 
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Leopold, N. K., &; Pickl, P. (2018). Mean-field limits of particles in interaction with quantised radiation fields (Vol. 270, pp. 185–214). Presented at the MaLiQS: Macroscopic Limits of Quantum Systems, Munich, Germany: Springer.https://doi.org/10.1007/978-3-030-01602-9_9 
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Flandoli, F., Russo, F., &; Zanco, G. A. (2018). Infinite-dimensional calculus under weak spatial regularity of the processes. Journal of Theoretical Probability. Springer.https://doi.org/10.1007/s10959-016-0724-2 
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Fulek, R., &; Kyndl, J. (2018). Hanani-Tutte for approximating maps of graphs (Vol. 99). Presented at the SoCG: Symposium on Computational Geometry, Budapest, Hungary: Schloss Dagstuhl - Leibniz-Zentrum für Informatik.https://doi.org/10.4230/LIPIcs.SoCG.2018.39 
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Edelsbrunner, H., Virk, Z., &; Wagner, H. (2018). Smallest enclosing spheres and Chernoff points in Bregman geometry (Vol. 99, p. 35:1-35:13). Presented at the SoCG: Symposium on Computational Geometry, Budapest, Hungary: Schloss Dagstuhl - Leibniz-Zentrum für Informatik.https://doi.org/10.4230/LIPIcs.SoCG.2018.35 
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De Martino, A., &; De Martino, D. (2018). An introduction to the maximum entropy approach and its application to inference problems in biology. Heliyon. Elsevier.https://doi.org/10.1016/j.heliyon.2018.e00596 
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Zagórski, M. P., &; Kicheva, A. (2018). Measuring dorsoventral pattern and morphogen signaling profiles in the growing neural tube. In Morphogen Gradients  (Vol. 1863, pp. 47–63). Springer Nature.https://doi.org/10.1007/978-1-4939-8772-6_4 
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