104 genetic-algorithm-computer "Integreat Norwegian Centre for Knowledge driven Machine Learning" PhD positions at Nature Careers
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, computer science, medicine, pharmacology, and physics. ISAS is a member of the Leibniz Association and is publicly funded by the Federal Republic of Germany and its federal states. At our location in
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Bioinformatics, Computational Biology, Computer Science, Biomedical Engineering, Computer Engineering, Genetics/Genomics or related field experience with ‘omics platform output experience with biological datasets
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algorithms. Graph Neural Networks. The candidate is expected to hold a relevant MSc degree in Computer Science, Data Science, Physics, (Applied) Mathematics, Computational Statistics or another field
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-marburg.de/en/fb20/departments/bpc/pharmatoxikol ). The PhD project is funded by the German Research Foundation as part of the Priority Programme SPP 2493 (https://www.uni-saarland.de/forschen/hetcci.html
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slicing. - Develop advanced AI/ML algorithms and data analytics techniques to automate and optimise exposure requests, adapted to available resources and real-time demand. - Propose and
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on this work by using molecular methods to unravel the forces that modulate mutagenesis across the genome of mutagen-exposed cancer cells. You’ll be introduced to advanced statistical and computational methods
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of systems biology, virology, high-throughput genetics, genomics and proteomics, molecular and cell biology, high content automatic imaging, chemical biology, and organic chemical synthesis. The program Our
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of the doctoral student Cell types in healthy tissues only take on a finite number of states, since they are generated following a strict developmental program. Cancer cells, however, carry genetic alterations
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relevant state-of-the-art technologies. S/He will benefit from an active seminar program, international conference attendances, opportunities for professional growth. The project will be carried out in
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mouse models with genetically engineered timing of synaptic development This work will contribute critical insight into how early brain development influences behavioral outcomes in ASD, and how