150 coding-"https:"-"Prof"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "https:" "UNIV" PhD scholarships in Sweden
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on tree ecophysiology, with current and future silvicultural practices. Read more about our benefits and what it is like to work at SLU at https://www.slu.se/en/about-slu/work-at-slu/ WIFORCE Research
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information can be found at www.slu.se/srh . Read more about our benefits and what it is like to work at SLU at https://www.slu.se/en/about-slu/work-at-slu/ WIFORCE Research School Do you want to contribute
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well as in the everyday activities of the project, including reporting to FORMAS. More information about the project: https://portal.research.lu.se/en/projects/power-and-polarisation-in-swedish-forestry-from
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usable for real-world code. The second project is centered around memory safety and techniques for memory-safe programming. Memory bugs are extremely costly in development and create security holes in
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collaborations with different international research networks. Additional qualifications Experience in programming languages (Python, C, Fortran, etc.) and with numerical codes for fluid dynamics is a merit
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like to work and live in Sweden. Where to apply Website https://uu.varbi.com/en/what:job/jobID:882838/type:job/where:39/apply:1 Requirements Research FieldChemistryEducation LevelMaster Degree
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documented knowledge or experience that may be relevant to doctoral studies in the subject. All applicants will be informed when the recruitment is completed. https://ki.se/en/people/peter-swoboda https
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in the job advertisement, and that it is submitted before the deadline. The instructions for applicants are available at: How to apply for a position . Where to apply Website https://su.varbi.com/en
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Group, https://www.chalmers.se/en/departments/e2/research/communications-antennas-and-optical-networks/communication-systems/ , employing around 45 people, including 8 faculty and 25 PhD students. During
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well as the programmes in statistics, cognitive science and innovative programming. Read more at https://liu.se/ida The position is based at the Division of Statistics and Machine Learning (STIMA). We conduct research