12 condition-monitoring-machine-learning PhD positions at University of Copenhagen in Denmark
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methods including machine learning methods to integrate genomics, transcriptomics and epigenomics data set to uncover genomic-epigenomic interactions and cancer evolution trajectories. The tasks will
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written and spoken English. Fluent in a computer coding language (python or Matlab or C++ or etc). The Scientific environment We offer creative and stimulating working conditions in a dynamic and
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used will be Density Functional Theory, statistics, machine-learning and dynamics. Collaboration with members of other research groups at UCPH and abroad is required. Who are we looking for? We
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. These transporters function as molecular machines, harnessing ion gradients to drive substrate uptake, and display features of enzymes, receptors, and ion channels. Grounded in biophysical pharmacology, our lab
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points Participating in active research environments including a stay at another research team Obtain experience with teaching or other types of dissemination related to your PhD project Teach and
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part of Department of Biology, Faculty of SCIENCE, University of Copenhagen. We offer creative and stimulating working conditions in dynamic and international research environment. Our research
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involves the use of quantum chemistry, machine learning, and genetic algorithms to search for new homogeneous chemical catalysts. Who are we looking for? We are looking for candidates within the field
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scholarship, to contribute to the project’s substantial collective prosopographical work (among other things with the aim of creating a new version of VisuaLeague ), and to learn and grow as a scholar together
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at the Niels Bohr Institute, Faculty of Science, University of Copenhagen. We are located in Copenhagen. We offer creative and stimulating working conditions in a dynamic and international research environment
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of Science, University of Copenhagen. We are located in Copenhagen. We offer creative and stimulating working conditions in dynamic and international research environment. Principal supervisor is Associate