990 programming-"https:"-"FEMTO-ST"-"UCL"-"https:"-"https:"-"https:"-"P" PhD positions
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Course location Stuttgart Description/content The Graduate School of SimTech offers an interdisciplinary structure and international training programme in order to prepare the candidates with
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 2 months ago
for the position of research assistant professor with a significant outreach component. Expectations of the position will be to develop an externally supported research program in agroforestry and contribute
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to reading your application to our PhD Stipend. At the Faculty of Engineering and Science, Department of Chemistry and Bioscience, a PhD stipend is available within the study program of Biology. The PhD
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of 5.5 in all sub-skills. International applicants may require an ATAS (Academic Technology Approval Scheme ) clearance certificate prior to obtaining their visa and to study on this programme. How
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for admission to the faculty's Doctoral Programme Basic knowledge of CAD/CAM/CAE Good skills in mathematics and programming, in production engineering or product development Very good English skills, both written
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related quantitative subject. Essential/important: Evidence of strong quantitative skills and interest in computational modelling. Basic programming/scripting ability (e.g., Python, MATLAB, Julia, C/C
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. This PhD project will address these critical gaps through an ambitious translational research programme combining human studies with cutting-edge laboratory science. The student will design and lead a
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stability and efficiency limits. Duties of the position Follow the faculty’s PhD program. Conducting experimental campaigns on optical and engine setups. Develop and apply optical diagnostic techniques
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- or part-time research programme. This includes current doctoral researchers in the College of Arts and Law. The funding will be available from September 2026. One scholarship is available offering
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Job Description Join a young research group dedicated to transforming materials discovery from empirical exploration to predictive design. Our research program builds on a synergy of high-throughput