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evaluate AI algorithms using diverse data modalities (e.g., text, image, signals) Collaborate to academic publications, dissemination, and open-source efforts Take courses at an advanced level within
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at the single-cell level, using tools from optimal transport, mathematical optimization, and machine learning. In addition to method development, the work includes applying and benchmarking algorithms on both
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substantially equivalent knowledge in some other way. Candidates must be able to express themselves fluently in spoken and written English. The applicant should have a strong grasp of key concepts in evolutionary
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your application! We are looking for a PhD student in evolutionary genetics interested in contributing to a better understanding of the mechanisms that shape mutation rates. Your work assignments
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consequences of higher host specialisation in the tropics – the role of ecological and evolutionary processes, and of data bias), and the successful applicant will work in the Evonets lab (evonetslab.github.io
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to study the evolutionary history of molt phenology across related species of grouse. The project will also use functional genomics to study the regulatory mechanisms of molt phenology in grouse
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identify key enzymes in the cell wall biosynthesis and identify evolutionary paths. Biochemical analyses will highlight changes in the microalgal cell wall in response to stress. You will further investigate
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set of alternative ways of evaluating a particular expression with unspecified matrix sizes. When a concrete expression is evaluated at run-time, thus revealing the matrix sizes, an extraction algorithm
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application! We are looking for a PhD student in evolutionary genetics interested in contributing to a better understanding of the mechanisms that shape mutation rates. Your work assignments Germline mutations
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phenotypic characterization to investigate the effects of salt-induced cell clustering on the eco-evolutionary dynamics of various bacterial species and synthetic microbial communities. The genetic basis