631 programming-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" positions in Sweden
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need strong written and verbal communication skills in English Proficiency in programming with high-level languages like Python or C Strong analytical skills and an interest in theoretical and
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computational modelling and electronic-structure methods. Experience in programming and machine learning What you will do Take courses at an advanced level within the Graduate school of Physics orMaterials
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supporting in acquiring funds for future research projects from research funding agencies/councils, EU framework program or industry. You will be working in the field of robotic autonomy and all activities
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to applied projects linked to societal needs. Key areas include computational mathematics, optimisation, biomathematics, statistics, and data science, supported by an active PhD programme. Our
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more about our benefits and what it is like to work at SLU at https://www.slu.se/en/about-slu/work-at-slu/ Genetic variation and genomic prediction in farm animals Research subject Animal Science
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disciplines. You will need strong written and verbal communication skills in English Good skills in programming (e.g. Matlab, Python, C/C++) *for students with an education earned outside of Sweden, a 4-year
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MSCA programme rules and is admitted as a doctoral student. Admission takes place at the doctoral programme in Textile Technology at the University of Borås. has a Master’s level (second-cycle) degree
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official plan of studies for a doctoral degree in Economics can be found at, https://www.lusem.lu.se/sites/lusem.lu.se/files/2025-06/FU-asp-nek-en.pdf Basis of Assessment Selection among the applicants will
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(e.g., from the viewpoint of physics, chemistry, or mechanical engineering), programming, machine learning, or equipment automation (including microfluidic systems, robotics and remote sensing
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considered fulfilled by applicants who have acquired essentially equivalent knowledge through other means. Good programming skills in R are required. Documented knowledge of spatial statistics, stochastic