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provide considerable training in chronobiology, signal transduction in plants, microbiology, and data analysis and interpretation. As part of the “MicroClock” programme funded through an ERC Synergy grant
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et program som kan inneholde skadelige programmer eller virus. Hvordan nettsiden bruker cookies Cookies er nødvendig for å få nettsiden til å fungere. Cookies hjelper oss å få en oversikt over besøkene
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-informed / simulation-aware modeling Efficient algorithms for design-space exploration (e.g., surrogate modeling, Bayesian optimization, differentiable programming) Hybrid approaches combining data-driven
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description The successful applicant will have to: commit to completing their PhD thesis within the period of employment (3 years). complete the coursework component of the PHESTET programme, consisting of in
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the mandatory PhD program in Medicine and Health Sciences at NTNU Be prepared for changes to your work duties after employment. Required selection criteria The applicant must have an educational background in
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computer science or a related field, with an interest in semantic technologies (ontologies, semantic querying) and information extraction. It is important to have strong programming skills, to prototype
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At the Faculty of Medicine, Department of Health Science and Technology a PhD stipend is available within the general research programme: Biomedical Engineering and Neuroscience. The stipend is open
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application to our PhD Stipend. At the Faculty of Engineering and Science, Department of Chemistry and Bioscience, a PhD stipend is available within the general study program. The PhD stipend is open for
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funded by the German Federal Ministry of Research, Technology, and Space (BMFTR) under the topic focus “Deep geothermal energy ” within the program “Geoscience for Sustainability (GEO: N) ”. The aim
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experimental fluid mechanics Enthusiasm, creativity, and a can-do attitude Programming skills (Ideally PALM-4U, Python / MATLAB or similar) Excellent communication skills in English (both spoken and written) You