221 programming-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" "https:" "https:" "CNRS" PhD positions in Norway
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and no later than autumn 2026. Experience with Python programming or a comparable programming language. You must have a strong academic background from your previous studies and have an average grade
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-year Norwegian master program, where 120 credits have been obtained at master's level Master students can apply, but the master's degree must be obtained and documented before starting the position and
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Doctoral Programme You must have an academically relevant background within mechanics of materials, solid mechanics or fatigue and fracture mechanics Documented strong background in experimental mechanics
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work experience and/or published/publishable scientific papers. You must meet the requirements for admission to the Faculty's Doctoral Programme . You must have English language skills, both written and
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-year program is designed for talented students who wish to pursue an international career within academia and who can contribute to the international arena with their research and publications
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. The candidate will be a part of the eT program developer team (www.etprogram.org) and significant parts of the work will be devoted to software development. Are you motivated to take a step towards a doctorate
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rigorous academic training with real-world policy engagement. More about the position About the Programme HEPARD is an interdisciplinary doctoral training network that equips early-career researchers with
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that combines rigorous academic training with real-world policy engagement. More about the position About the Programme HEPARD is an interdisciplinary doctoral training network that equips early-career
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requirements for admission to the faculty's Doctoral Programme You must have strong experimental background in synthesis and functionalization of nanoparticles via bottom-up approaches or synthesis and
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operations Plan and execute iterative prototyping cycles with concepts, prototypes, and evaluations Perform empirical studies using mixed methods (e.g., interviews, observations, usability testing, experiments