14 evolutionary-algorithm positions at Indiana University in Ireland-University-Ranking-2024
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the evolutionary and ecological processes that shape genetic variation. The Postdoctoral Associate will conduct research exploring new inference techniques, applying cutting-edge tools to address biological
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applications for a Postdoctoral Fellow to join the Human Evolutionary and Statistical Genetics (HESG) Lab. The HESG Lab develops statistical and computational methods to understand human population history and
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in hiring. See Indiana University Notice of Non-Discrimination here which includes contact information. Our lab in Evolution, Ecology, and Behavior investigates the genetic and evolutionary processes
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experience leading computational research projects is required for the proposed research. Expertise in population or evolutionary genetics is preferred but not required. Required skills: · Experience with
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campus. We are particularly interested in researchers working in mathematical artificial intelligence, broadly construed. This includes, but is not limited to: machine learning algorithms, formal proof
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in hiring. See Indiana University Notice of Non-Discrimination here which includes contact information. Our lab in Evolution, Ecology, and Behavior investigates the genetic and evolutionary processes
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cryptography Quantum error correction and fault-tolerant quantum computing Quantum algorithms and complexity theory Quantum optimization and quantum machine learning Quantum programming languages, compilers
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investigating gene-environment interactions, chemical susceptibility, and effects of exposure on evolutionary processes with a focus on emerging contaminants such as PFAS. Research integrates Caenorhabditis
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campus. We are particularly interested in researchers working in mathematical artificial intelligence, broadly construed. This includes, but is not limited to: machine learning algorithms, formal proof
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, including, but not limited to, creative coding; computational, algorithmic and generative art; artifi cial intelligence and machine learning; human-computer interaction; interactive media; game art and