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astronomy, physics, computer science or equivalent degree Solid background in star and planet formation or small bodies of the solar system Experience in hydrodynamics and/or N-body simulations in the star
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academic qualifications at the PhD level in bioinformatics, computational biology, biomedical sciences or a related field. Documented expertise in scRNA-seq analysis and familiarity with spatial
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opportunity for an enthusiastic and motivated postdoctoral fellow in data-sciences and biomedical informatics to work on exciting human and veterinary health studies, such as the identification of novel
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to precisely track brain and cognitive change over short intervals. The program of research seeks to understand individual differences in aging trajectories and to develop approaches to predict and monitor
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demonstrated by peer-reviewed publications in international journals. Having good programming (Python) and Linux skills is a must Knowledge in plant biology or single-cell genomics is a plus You have good
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of natural language processing, machine learning, artificial intelligence, and human-computer interaction. Established within the School of Computer Science, LTI pioneers innovative approaches to understanding
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role in supporting the Center for Western Weather and Water Extremes (CW3E), with a primary focus on the Atmospheric River Reconnaissance (AR Recon) program. This position combines scientific research
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opportunity for an enthusiastic and motivated postdoctoral fellow in data-sciences and biomedical informatics to work on exciting human and veterinary health studies, such as the identification of novel
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-approved systems. Ensure adherence to data security and compliance protocols. Preferred Qualifications MSc or PhD in Bioinformatics, Computational Biology, Computer Science, or a related field. Strong
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Sweden Application Deadline 4 Sep 2025 - 21:59 (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