109 programming-"https:"-"Inserm"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "Dr" "L2CM" PhD positions at Nature Careers
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studies and related subjects to apply for the International PhD Program. PhD students are supported by a Thesis Advisory Committee, participate in scientific and professional skills courses, attend
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beneficial, but is not required. If you would like to know more about the project, please get in touch with Dr. Bastian Krenz (bastian.krenz@uni-wuerzburg.de). Please send your application (CV, letter of
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only the most promising graduate students through a competitive exam to join our elite Doctoral Programs. PhD Programs Offering no less than 30 Fully Funded Scholarships: Coordinator: prof. Michelino De
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live in. Your role The University of Luxembourg's Research Group Physics of Advanced Materials is inviting applications for a PhD candidate position under the guidance of Dr. Jörg Baller. The position
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computational scientific workflows. Experience with scientific programming (Python or similar) Experience working in Linux-based computational environments Documented experience with high-performance computing
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Call for applications We are pleased to announce the call for the second cohort of our Graduate Programme RNAmed – Future Leaders in RNA-based Medicine. Applications are invited for 11 PhD
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or a closely related field is required, or for a 4-year integrated Master’s and PhD program. Essential qualifications include: a strong motivation for fundamental research a solid background in particle
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, including, but not restricted to, geometry or shape optimization, parameter optimization, or multi-objective optimization. · Strong programming skills (e.g. Python, C/C++, R or similar) and experience
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present your research plan to the faculty and complete a dissertation agreement within 12-18 months. This will be reviewed and adapted on an annual basis. • You will work on your dissertation and towards
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programme at the Faculty of Science . The ideal candidate has a background in or experience with one or more of the following topics: Advanced deep learning architectures Mathematical foundations of machine