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accomplished by constructing a version of statistical mechanics that takes the physical processes at the pore scale as a starting point. This leads to emergent variables at the continuum scale. These emergent
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Science, is offering a full-time PhD-position for a duration of three (3) years. The position is partly affiliated with the project 'A Cryptosporidiosis Point-of-Care Test-and-Treat Strategy in Children
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distinctions between valuable, acceptable, and non-acceptable use of these technologies in sport. The Nature and Value of Sport Virtual sports: With the help of virtual reality or computer-generated environments
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antibiotics, especially since no new broad-spectrum antibiotics have been developed since the 1990s and their development is a lengthy process with high attrition rates. The ENDAMR doctoral network aims
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the SFF Integreat, The Norwegian Centre for Knowledge-driven Machine Learning (ML) , a centre of excellence funded by RCN and in operation until 2033. The project PI and team are also in close collaboration
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. Familiar with signal processing, operational modal analysis Personal characteristics Strong analytical skills Good team work skills Ability to take initiative and work independently Emphasis will be placed
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information about working at NTNU and the application process here. About the position The PhD candidate will contribute to the project “All the names” by developing their own research agenda around the issues
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. If applicants indicate they have disabilities or gaps in their CV, their details may be used anonymously for the purposes of governmental annual review. Application process Applicants will be evaluated by
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5th May 2025 Languages English English English The Department of Energy and Process Engineering has a vacancy for a PhD Candidate in Experimental Fluid Mechanics and Heat Transfer – Leidenfrost
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during sitting, walking, running or performing sports; or (ii) generative machine-learning models for physiologically realistic avatar construction from image or point-cloud data. Qualifications