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Field
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Application Deadline 31 Jan 2026 - 23:00 (UTC) Type of Contract To be defined Job Status Full-time Hours Per Week To be defined Is the job funded through the EU Research Framework Programme? Not funded by a EU
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biochemistry, cell biology, biotechnology, immunology or medicine, or computational biology/bioinformatics/informatics The average grade from your Master's degree study, or equivalent education, should be equal
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field relevant for the position, which includes biochemistry, cell biology, biotechnology, immunology or medicine, or computational biology/bioinformatics/informatics The average grade from your Master's
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of extensive datasets. You will be supervised researchers who collectively offer expertise in computational biology, genetics, epidemiology, and machine learning. The research will be closely linked
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Application Deadline 19 Dec 2025 - 23:59 (Europe/Madrid) Type of Contract Temporary Job Status Full-time Offer Starting Date 1 Feb 2026 Is the job funded through the EU Research Framework Programme? Horizon
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Master’s degree. All applicants should have a background in molecular biology, biochemistry, microbiology, or computational science. Further information about available projects can be obtained by email to
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://radningarkerfi.orri.is/?s=44538 Requirements Skills/Qualifications Master's degree in biochemistry, chemistry, molecular biology, or related fields Excellent computer or data analysis skills Experience with data analysis
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Leibniz Institute for Natural Product Research and Infection Biology - Hans Knöll Institute • | Jena, Th ringen | Germany | about 22 hours ago
in English and German language courses. Full-time / part-time full-time Programme duration 6 semesters, 8 semesters Beginning Only for doctoral programmes: any time Application deadline Please see our
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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 We are seeking an enthusiastic, highly motivated PhD candidate to join our
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Machine Learning Bioinformatics The successful candidate will contribute to advancing state-of-the-art in data mining and machine learning research with applications in computational biology by: Developing