10 big-data-machine-learning-phd PhD positions at University of Copenhagen in Denmark
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/ . Interviews with selected candidates are expected to be held in week 43-44. Questions For specific information about the PhD fellowship, please contact the principal supervisor. General information about PhD
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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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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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. For information of eligibility of completed programmes, see General assessments for specific countries and Assessment database . Terms of employment Employment as PhD fellow is full time and for maximum 3 years
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skills. For further information about the guidelines for PhD studies at UCPH, please refer to: https://phd.ku.dk/english/. For further information about the structure of the PhD programme, please refer to
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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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interdisciplinary environment, which offers fantastic scientific and social interactions with a large group of talented researchers. Further information on the Niels Bohr Institute is found at https://nbi.ku.dk
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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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. 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