316 coding-"https:"-"Prof"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "https:" "UNIV" uni jobs in Sweden
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about terms of employment for doctoral students - on Lund University’s Staffpages. https://www.staff.lu.se/research-and-education/research-support/doctora… Other Selected top candidates will be called
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working at SLU by visiting: https://www.slu.se/en/about-slu/work-at-slu/ Location: Grimsö wildlife research station Form of employment: Fixed-term employment for 4 months, with a possible extension. Scope
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interact with owners, students and colleagues. You also need to meet the requirements for approval as a resident according to EVCS guidelines (see information brochure on the ECVS website, https
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degree in machine learning. The successful candidate will be supervised by professor Aristides Gionis (https://www.kth.se/profile/argioni/ ). The research team focuses on developing novel methods
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further developing code-based workflows for data collection, processing, and database updates, including work with external data sources and APIs. Developing methods and program code that ensure
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to The Higher Education Ordinance Where to apply Website https://lu.varbi.com/en/what:job/jobID:906200/type:job/where:39/apply:1 Requirements Additional Information Work Location(s) Number of offers
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information about the department/division: https://www.slu.se/institutioner/vaxtbiologi-skogsgenetik/ Read more about our benefits and what it is like to work at SLU: https://www.slu.se/om-slu/jobba-pa-slu
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of offers available1Company/InstituteKTH Royal Institute of TechnologyCountrySwedenCityStockholmPostal Code11428StreetBrinellvägen 8 Contact City Stockholm Website http://www.kth.se Postal Code 11428 STATUS
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School of Engineering Sciences in Chemistry, Biotechnology and Health at KTH Job description The Affinity Proteomics unit (https://www.scilifelab.se/facilities/affinity-proteomics/ ) is part of
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Experience with scanning frameworks like Sardana or Bluesky Other software programming languages: C, C++, Rust etc. Software development for scientific applications Knowledge of code lifecycle management: git