55 molecular-modeling-or-molecular-dynamic-simulation PhD positions at Technical University of Denmark
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Job Description We are looking for a highly motivated and experienced researcher to join our dynamic team as Senior Researcher at PROSYS. The ideal candidate has a strong theoretical and practical
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mathematical foundation of machine learning models. You will be responsible for developing scientific machine learning methodologies enabling new approaches for solving machine learning problems including
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. The group also contributes to research-based advice and activities associated with updating the Danish Food Composition Database. The group has a dynamic staff with high international visibility, many
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modelling, and prediction tools. Fouling Control Coatings Fouling Control is performed by specifically designed materials to remove or prevent biofouling from i.e. ship hulls, as bio fouling leads
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the following profile: Dynamic, independent, creative and goal orientated Strong technical background in immunological methods including ELISA, Flow Cytometry and qPCR Knowledge and hands-on experience within in
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monitoring Statistical analysis and modelling of relevant data (e.g. environmental data). Publishing results in peer-reviewed scientific journals. Fisheries management and conservation (e.g. biodiversity
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activities will be carried out within both DTU Sustain and DTU Food departments. In QSA, you will become part of a dynamic and team-based research environment with around 50 international staff members
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, or biophysics. Experience with experimental organic chemistry, NMR, kinetic modelling and/or cheminformatics are advantages. The candidate must be able to work independently, but also participate in
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(ORR), oxygen evolution reaction (OER), and carbon dioxide (CO₂) reduction. Collaborating with theoretical research groups to guide the design of active site structures through computational modelling
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for sustainable production of food by applying your microengineering and material science skills? Here, we can offer you a unique opportunity to do exactly that in a dynamic research environment. In the SOLARSPOON