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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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or incomplete. Information Your tasks will include: Developing and benchmarking ML/AI algorithms tailored to low-data regimes — e.g. few-shot learning, transfer learning or data-efficient representation learning
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of biological databases, algorithms and pipelines; experience in working with phylogenetic/ genomic/transcriptomic/systems biology tools will be a bonus; being well organized, eager to learn and ready to
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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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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
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Sciences o Cryptography o Data Sciences, Complex Networks, Mathematical Biology o Quantum Computation & Information Science o Post-Quantum Cryptography, Homomorphic Encryption and Computing o Theoretical and
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original and outstanding research in computational biology, and expertise in computational methods, data analysis, software and algorithm development, modeling machine learning, and scientific simulation
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Ability to do original and outstanding research in computational biology, and expertise in computational methods, data analysis, software and algorithm development, modeling machine learning, and scientific
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should focus on one or several of the following or related research areas: High-Throughput Sequencing Algorithms and Applications, Computational RNA Biology and Regulatory Genomics, Analysis and Modeling
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academia. The Department of Biology is one of eight departments in the Faculty of Natural Sciences . Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/290760/phd-candidate-in-plant-ev