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recruitment of world-class investigators to the Grand Rapids Campus. We currently seek scientists with active, extramurally-funded research programs in the field of computational biology. Up to four tenure
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for problems that are 'quantum' NP-hard (QMA-hard). What you will do Quantum algorithms and complexity theory; Quantum error correction protocols; Quantum information theory; Classical representation of quantum
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/tools or machine learning algorithms. Good computer programming skills in R/Matlab/PerlPython. Knowledge of basic molecular biology, genomics, and epigenetics. Experience in next-generation sequencing
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analysis of data from a Laboratory Information Management System. Key responsibilities will include: Core Scientific Contribute to the coding and development of custom data analysis algorithms and modelling
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biology due to significant species-specific differences in neutrophil biology. For example, human neutrophils contain antimicrobial proteins that are absent in mouse neutrophils. Reliance on mouse models
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structure analyses (eg. structure prediction and docking); knowledge of biological databases, algorithms and pipelines; experience in working with phylogenetic/ genomic/transcriptomic/systems biology tools
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are not limited to): Machine learning and artificial intelligence applied to astronomical data Advanced statistical and probabilistic inference methods Scalable algorithms for the analysis of large
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with implementation of: existing algorithms and computer software for analyzing omics-based data sets [high-throughput, massively parallel genomic/proteomic/clinical.]; data management and analysis
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 1 month ago
the replicator equation. The focus will be on understanding the principles and number of coexisting species, and the quality of their dynamics. The candidate(s) will also apply data fitting algorithms/machine
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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