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Applications are invited for a 2-year post-doctoral position in the field of evolutionary genomics and bioinformatics at the Department of Biology, Aarhus University, Denmark. Expected start date
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Click to add the job to your shortlist Send job Job Details Applications are invited for a 2-year post-doctoral position in the field of evolutionary genomics and bioinformatics at the Department of
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The EvOmics group at Aarhus University is seeking a postdoctoral researcher to join an interdisciplinary project that combines plant genomics, artificial intelligence, and evolutionary biology. The
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researcher to join an interdisciplinary project that combines plant genomics, artificial intelligence, and evolutionary biology. The position is based at the Center for Quantitative Genetics and
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Experience with programming in Python, R, or similar languages Background in machine learning or deep learning methods Knowledge of genomics, transcriptomics, evolutionary biology, and plant biology is an
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to work independently on computational research problems Interest in working at the interface of computation, chemistry, and mass spectrometry Desirable Qualifications The following qualifications
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computation, chemistry, and mass spectrometry Desirable Qualifications The following qualifications will be considered an advantage: Experience with mass spectrometry-based proteomics, computational mass
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platform CUDA for parallelization of the computation over several GPUs’ cores, and has interfaces with Matlab and Python for ease of use. You will research determining the ideal microstructure, for
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materials chemistry, crystallography, spectroscopy, computation and energy science. The position offers an unusual opportunity to work across two strong and complementary research environments
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Postdoc in first-principles modelling and machine-learned force fields for correlated disorder in...
environment. CENSEMAT is hosted within the department and provides a collaborative setting for researchers working across materials chemistry, crystallography, spectroscopy, computation and energy science. The