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university, with expertise in one of the following disciplines: Biological Sciences, Medicine, Pharmacy, Chemistry, Physics, Mathematics, Computer Science & Electronics, Materials Science & Engineering
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FieldBiological sciencesEducation LevelMaster Degree or equivalent Skills/Qualifications Education and qualifications: Required: Hold a master’s degree in bioinformatics, computational biology, genomics, data
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sciencesEducation LevelMaster Degree or equivalent Skills/Qualifications Education and qualifications: Required: Hold a master’s degree in bioinformatics, computational biology, genomics, data science, epidemiology
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) with international collaborators who will conduct experimental validation of the computational predictions to translate neuronal reprogramming into clinical practice. The Computational Biology Group aims
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Framework Programme? Not funded by a EU programme Reference Number PID2025-173855NB-I00 Is the Job related to staff position within a Research Infrastructure? No Offer Description The Ultrafast Science of
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Framework Programme? Not funded by a EU programme Reference Number PID2025-173855NB-I00 Is the Job related to staff position within a Research Infrastructure? No Offer Description The Ultrafast Science of
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» Biology Computer science » Modelling tools Researcher Profile First Stage Researcher (R1) Positions Other Positions Application Deadline 31 Dec 2026 - 23:59 (Europe/Madrid) Country Spain Type of Contract
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Postdoctoral Fellowships programme. Why apply with ICFO? ICFO is an internationally recognised research centre at the forefront of photonics, quantum science and technologies, nanoscience, condensed matter
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Sciences of Catalonia (IEEC). In addition, the group has ongoing collaborations with European and international research institutions (Caltech, Radboud University, KU Leuven, AIP Potsdam, Universidad
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.) Hours Per Week 21 Offer Starting Date 6 Jul 2026 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