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Location: Cambridge, Massachusetts 02142, United States of America [map ] Subject Areas: Machine Learning Artificial Intelligence Biology Appl Deadline: (posted 2025/09/30, listed until 2026/03/30) Position
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describing the effect of conditions on stability. Testing the model in standard stirred tank apparatus Refining the model to allow predictability between different types of apparatus. Defining an algorithm
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | 2 months ago
challenges facing society today. At the Institute of Radiopharmaceutical Cancer Research scientists (f/m/d) from the fields of physics, chemistry, biology, pharmacy, immunology, medicine and IT develop
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University of California, San Francisco | San Francisco, California | United States | about 1 month ago
Neurology Full Time 86956BR Job Summary Uses skills as an advanced, specialized bioinformatics programming professional with an in-depth understanding of computational algorithms and systems
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biology, and expertise in computational methods, data analysis, software and algorithm development, modeling machine learning, and scientific simulation Ability to work well in an interdisciplinary
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algorithm development, data analysis and inference, and image analysis Ability to do original and outstanding research in computational biology, and expertise in computational methods, data analysis, software
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Simons Foundation/Flatiron Institute, Center for Computational Biology Position ID: 3497-FRFBMCCB [#25768] Position Title: Position Type: Fellowship or award Position Location: New York, New York
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to receive their doctoral degrees by starting date at KIAS in the relevant research fields: □ Computational Sciences o Cryptography o Data Sciences, Complex Networks, Mathematical Biology o Quantum Computation
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the area of enzyme engineering to the next level, while having a positive impact on our world. When joining our team, you get the opportunity to use the latest algorithms in machine learning for improving
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limited to synthetic and chemical biology approaches to cellular computation and biomolecular logic design, the development and implementation of novel algorithms, machine learning for parsing biological