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integrated part of both centres, with focus on new methods for analysing and modelling molecular data, cellular mechanisms and clinical phenotypes, based on both statistics/machine learning and computational
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-driven life 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
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, ecology, biology). In-depth background knowledge in greenhouse gas budgeting and carbon cycling, with focus on boreal forests in Sweden Excellent numeric and analytical problem-solving skills Demonstrated
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fellow in data-driven cell and molecular biology. For more information about us, please visit: DBB and MBW Data-driven life science (DDLS) uses data, computational methods and artificial intelligence
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Lecturer. Background Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and
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degree in bioinformatics, data science, computer science, scientific computing, or associated field Documented experience with AI methods for analysis of tabular dataset and image-based data including deep
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(R2) Country Sweden Application Deadline 14 Nov 2025 - 22:00 (UTC) Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU
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the laboratory and department. This position offers the opportunity to be deeply involved in world-class research and to play a central role in advancing our experimental methods and laboratory capabilities
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communicate about research and research results and contribute knowledge to society The department has a parallel language work environment. The associate senior lecturer will be able to carry out most
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application of novel data-driven methods relying on machine learning, artificial intelligence, or other computational techniques. Your tasks will include conducting independent research in the subject area at