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BSc and MSc students. The faculty has 11 research groups within chemistry and biochemistry, microbiology and microbial gene technology, bioinformatics and data analysis, food science and nutrition
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multidisciplinary and teacher education and professionalism is explored by multiple methodologies and by comparative analysis. The target group of the PhD programme in Educational Sciences is dedicated individuals
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Data analysis and publication Participate in professional development and knowledge dissemination within relevant topics Active participation in research group meetings via Unsplash Qualification
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Science, Atmospheric Science, Environmental Science, or related fields · Good knowledge and skills in statistics and programming (e.g. R or Python) is required · Experience with data analysis related
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of structures, facilitating a form-finding process driven by FEM analysis. Training deep learning algorithms to suggest multiple structural concepts tailored to specific boundary conditions. Expanding FEM
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population genomic analysis) Your course of study must correspond to a five-year Norwegian course, where 120 credits have been obtained at master's level. Master's students can apply, but the master's degree
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the gap between numerical simulations and clinical practice. The candidate will work alongside experts in solid mechanics, finite element analysis, and machine learning and cardiology, benefiting from
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at the Norwegian University of Science and Technology (NTNU) for general criteria for the position. Preferred selection criteria A strong interest for multi-disciplinary analysis of buildings and / or