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, Computer Science, Image Analysis, or another quantitative discipline. Achieved proficiency in statistical programming (e.g., R or Python) and familiarity with advanced analytical techniques (e.g., causal inference
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Profile Recognised Researcher (R2) Country Sweden Application Deadline 11 Jan 2026 - 22:59 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme
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relevant to the position. Strong proficiency in quantitative methods and statistics, including programming. Very good oral and written proficiency in English. We are looking for a creative person who thrives
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work duties may also occur. Qualifications Requirements for the position are: PhD or equivalent foreign degree within the subject of neuroscience, engineering, statistics, quantitative biology, physics
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imaging technologies. Strong programming skills in at least one scientific programming language. Solid understanding of statistical methods, machine learning, and/or image analysis pipelines. Strong written
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to numerical analysis and optimization, as well as mathematical statistics and machine learning. The centre offers a lively academic environment where colleagues from many parts of the world come together
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Lund University was founded in 1666 and repeatedly ranks among
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Profile Recognised Researcher (R2) Country Sweden Application Deadline 19 Dec 2025 - 22:59 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme
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and food web dynamics in northern lakes, informing both conservation and sustainable management of aquatic ecosystems. The position is part of a broader research program on biodiversity and ecosystem
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academic activities. Qualifications Requirements for the position are: PhD or equivalent foreign degree within Bioinformatics, statistics, genetics, or equivalent. The PhD must be completed no later than