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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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. 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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through the application of both well-established statistical modelling and newer machine learning methods. The research specialist will be integrated in the computational team led by John Wallert
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Profile Leading Researcher (R4) Country Sweden Application Deadline 3 Oct 2025 - 21:59 (UTC) Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Subject description Biology is a broad subject about all living things. It
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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
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- 12:00 (UTC) Type of Contract Temporary Job Status Full-time 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
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Deadline 19 Sep 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 programme Reference Number 1114--1-13592
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limited by its brittleness and very high melting point, which make it difficult to process with conventional methods. Supported by the Marie Skłodowska-Curie Actions programme, the ElectronsMatter network
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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