39 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" uni jobs at Lunds universitet
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Systems, Internet Systems and Computer Networks, Robotics, Machine Learning and AI, Automatic Control, or Mathematical Modelling and Optimization. Documented good profiency in software development. Good
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found here https://www.maxiv.lu.se/beamlines- accelerators/support-labs/microscopy-labs/ . This is a temporary position from March until October 2026. Qualifications for a successful candidate are: Hold
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covers areas such as pure mathematics, applied mathematics, mathematical statistics, as well as computer vision and machine learning. The department has approximately 150 employees, including 21 full
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measurements with fluorescence microscopy. It is considered a merit if you have experience in AI-based or machine-learning-based cell and image analysis. It is considered a merit if you have advanced knowledge
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teaching environment at the department. The main language of the PhD program is English. However, non-Swedish speaking students are expected to acquire basic skills in Swedish during the period of employment
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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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addition to conventional software, the scope includes engineering of AI enabled systems (primarily ML and LLM), and thus MLOps (Machine Learning Operations), datacentric AI, and legal and ethical aspects of AI
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capture. Ability to work independently, as well as in a group. Valid Swedish driver´s license as we use car to drive to field localities Other merits Utbildning: University education in i biology (Master’s
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publication list. Where to apply Website https://lu.varbi.com/en/what:job/jobID:907034/type:job/where:39/apply:1 Requirements Research FieldMedical sciencesEducation LevelPhD or equivalent Research FieldMedical
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at Lake Kvismaren, Närke, involving daily observations of all breeding GRW, collect blood samples and data of breeding performance. The project gives excellent opportunity to learn DNA techniques