54 molecular-modeling-or-molecular-dynamic-simulation PhD positions at Technical University of Denmark in Denmark
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failure analysis using advanced finite element models and simulation techniques. This is enabled by digital and sensor technologies such as artificial intelligence, computer vision, drones, and robotics
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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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with a wide range of data formats and engaging with data experts and database managers. The second major focus is advanced data analysis and statistical modeling to identify patterns in fish distribution
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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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. nutrition, chemistry, toxicology, microbiology, epidemiology, modelling, and technology. This is achieved through a strong academic environment of international top class with correspondingly skilled
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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