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structural biology, statistical modeling, or AI/ML. This role combines deep domain knowledge with scientific leadership, translating advanced methods into practical capabilities that accelerate molecule
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lit. b (postdoc) Limited until: 31.12.2029 Reference no.: 5198 Explore and teach at the University of Vienna, where over 7,500 brilliant minds have found a unique balance of freedom and support. Join
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curiosity and a deep sense of duty, they contribute invaluable insights to research and teaching, enriching our society. Are you inspired and driven by the desire to make a meaningful impact? We are currently
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at Forschungszentrum Jülich, in close collaboration with bioimage analysis partners at Karlsruhe Institute of Technology. Your tasks in detail: Develop and extend deep-learning–based segmentation, classification and
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: §48 VwGr. B1 lit. b (postdoc) Limited until: permanent Reference no.: 5171 Explore and teach at the University of Vienna, where over 7,500 brilliant minds have found a unique balance of freedom and
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: §48 VwGr. B1 lit. b (postdoc) Limited contract until: Job ID: 5171 Explore and teach at the University of Vienna, where over 7,500 brilliant minds have found a unique balance of freedom and support
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increments; excursion theory of Markov processes; Tsirelson's theory of stochastic noises; deep/machine learning; Stein's method and the central limit theorem; copulas; actuarial mathematics). Where to apply E
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(postdoc) Limited contract until: 31.12.2029 Job ID: 5198 Explore and teach at the University of Vienna, where over 7,500 brilliant minds have found a unique balance of freedom and support. Join us if you’re
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control framework for microfluidic live-cell analytics in close collaboration with partners at HZI, Helmholtz Munich and HHU. Your tasks in detail: Establish deep-learning–based segmentation, species
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George Emil Palade University of Medicine, Pharmacy, Science, and Technology of Târgu Mureș | Romania | 2 months ago
Research, 2024, 52(12):1-19. https://doi.org/10.1177/03000605241302304 Masumshah, R., Eslahchi, C. DPSP: a multimodal deep learning framework for polypharmacy side effects prediction, Bioinformatics