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computational models to map co-expression networks and predict systemic disease transitions. Characterise intestinal microbiome changes and their correlation with inflammatory diseases. Computational modelling
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of neuroimaging data and experience with computer programming, in particular Matlab. You have a strong interest in music. You have good interpersonal skills, are friendly, helpful, and able to contribute to a good
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project. Your profile We are looking for a highly motivated candidate with a background in machine/deep learning, and communication networks. The required qualifications include: PhD in computer engineering
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connection to the research environment, and a comprehensive national and international research network and good industrial and professional collaboration. Please refer to Department of Animal and Veterinary
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Do you have a computational background and interest in developing novel tools for integrating structural biology data to understand regulation of disordered regions of proteins? Then the Viennet lab
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The Section for Software Engineering and Computing Systems, at the Department of Electrical and Computer Engineering (ECE), invites applicants for a two-year postdoctoral position within the area of
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-field, and field-scale research facilities, advanced computing capacities as well as an extensive national and international researcher network. The department consists of nine research sections with
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to protein engineering and molecular cloning, Experienced in bioinformatic genome analysis and computational tools related to protein structure analysis and prediction, Sufficient expertise in standard
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/ ). The candidate is expected to support Prof. Katrin Vorkamp’s research in this centre, with possibilities for networking and exchange on PFAS. However, the candidate is also expected to contribute to Prof. Katrin
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education. We offer modern laboratories, greenhouses, semi-field, and field-scale research facilities, advanced computing capacities as well as an extensive national and international research network