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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
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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
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. Project description: DDLS Fellows Program Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular
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38 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Project
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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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developing data processing pipelines, such as Nextflow or similar systems. Computer clusters and distributed systems. Virtual environments, e.g., Docker or Apptainer. Methods for software deployment (e.g
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19 Oct 2025 - 22:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number 583--1-9466 Is the Job
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strong computational focus on innovative development and application of novel data-driven methods relying on machine learning, artificial intelligence, or other computational techniques. Work duties The
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of data-driven life science and includes access to a formidable package of resources. Project description: DDLS Fellows Program Data-driven life science (DDLS) uses data, computational methods and