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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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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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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
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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | 28 days ago
physical and MAC layers and the proofs of concept for the practical assessment of the performance of selected algorithms. The position will be based at Inria Saclay, with expected collaboration with other
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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