26 parallel-computing-numerical-methods Fellowship positions at University of Bergen in Norway
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, and typically has about 10 PhD students. The group's primary area of research relates to numerical and computational methods for processes associated with porous materials, with a particular emphasis on
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numerical methods for solving partial differential equations (e.g., diffusion or wave equations) is required. Proficiency in at least one of the following areas is required: Numerical methods for large-scale
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is contingent upon the degree being awarded. Solid experience with numerical methods for solving partial differential equations (e.g., diffusion or wave equations) is required. Proficiency in at least
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). Potential other methods include laser ablation inductively coupled plasma mass spectrometry (LA-ICP-MS), Raman spectroscopy, time of flight secondary ion mass spectrometry (ToF-SIMS), electron microscopy (EM
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microbial genomics, atomic force microscopy combined with vertical scanning interferometry (ATM-VSI), x-ray diffraction (XRD). Potential other methods include laser ablation inductively coupled plasma mass
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-prediction benchmark studies. Depending on the qualifications and preferences of the candidate, the work may entail experimental investigations and/or modelling in the open-source computational fluid dynamics
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in the open-source computational fluid dynamics (CFD) code PDRFOAM. The work will be conducted in collaboration with other research projects on hydrogen safety at the department. The position offers a
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Ability to actively communicate and co-operate within a larger research team is required. Experience with LINUX environments and analysing large datasets from numerical models is an advantage Experience
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’ ph.d programme . The PhD programme comprises a training component corresponding to 30 ECTS, which corresponds to one semester. The remaining six months will be allocated to this formal training
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of the position will be established in collaboration with the Department. As a PhD candidate, you must participate in the Faculty of Humanities’ ph.d programme . The PhD programme comprises a training