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Additional duties related to the position may be assigned. Qualifications Required Qualifications; A background in Bioinformatics, Computational Biology, or equivalent (at least 240 ECTS credits, of which 60
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programme comprises both research and coursework. As a doctoral student, you will gain broad research experience in forage and crop science. Your main activities will include: planning and conducting field
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computer science, image analysis and machine learning, engineering physics, data science, applied mathematics, molecular biotechnology engineering, or another related field; or Have completed at least 240
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science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human health and
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the genetic material, and how it interacts with various kinds of micro-organisms. Using this knowledge, we try to elucidate the causes of diseases, and find new ways to diagnose and treat them. The Institute is
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. The Department of Clinical Sciences, Lund, is now announcing a PhD student position within the doctoral programme subject Medical Science – Neuroscience, linked to the doctoral project “Incidence, Treatment
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Institute of Neuroscience and physiology, Sahlgrenska Academy, university of Gothenburg | Sweden | 25 days ago
1 Sep 2026 Job Information Organisation/Company Institute of Neuroscience and physiology, Sahlgrenska Academy, university of Gothenburg Research Field Medical sciences Researcher Profile First Stage
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Deadline 23 Jul 2026 - 21:59 (UTC) Country Sweden Type of Contract Not Applicable Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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research in Europe. Research at UPSC covers a wide range of disciplines in plant biology including ecology, computational biology, genetics, physiology, biochemistry, cell biology and molecular biology (see
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is part of the national research programme DDLS. Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels