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Postdoctoral Research Fellows in Proteomics: Neurodevelopment, Cancer and Drug Toxicity, 3 positions
The Varjosalo group and the newly established Järvinen group at the Institute of Biotechnology, HiLIFE, University of Helsinki are looking for three postdoctoral research fellows. We use mass
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discovery. Experience with developing machine-learning surrogates for structure-property relationship, generative AI models, material representations, machine learning force-fields (especially
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Time Apply on website Save job Click to add the job to your shortlist Send job Job Details Company Job Details The Varjosalo group and the newly established Järvinen group at the Institute of
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backgrounds in geology, genetics, ecology, evolutionary biology, computer science, statistics, and related fields. Particular emphasis will be placed on a good onboarding process and strong integration into the
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Postdoctoral Research Fellows in Proteomics: Neurodevelopment, Cancer and Drug Toxicity, 3 positions
group and the newly established Järvinen group at the Institute of Biotechnology, HiLIFE, University of Helsinki are looking for three postdoctoral research fellows. We use mass spectrometry-based
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Helmholtz Association of German Research Centres | Geesthacht, Schleswig-Holstein | Germany | 2 months ago
external site after 5 seconds) Save job Click to add the job to your shortlist Send job Job Details Company Job Details Work group: Institute of Coastal Environmental Chemistry Area of research
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Helmholtz Association of German Research Centres | Geesthacht, Schleswig-Holstein | Germany | 2 months ago
after 5 seconds) Save job Click to add the job to your shortlist Send job Job Details Company Job Details Work group: Institute of Coastal Environmental Chemistry Area of research: Scientific
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, Behavioral Neuroscience Research Branch Employer National Institute on Drug Abuse (NIDA) Location Bethesda, Maryland Salary Salary commensurate with rank Closing date 6 Oct 2026 View more categories View
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expertise in multiscale and multifidelity simulation techniques ( ab initio methods at different fidelity, machine learning tight-binding, machine learning force fields, phase-field modeling, and/or
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Alexander Skupin: Your profile Core qualifications: PhD in bioinformatics, computer science, computational biology, physics, data science, or related fields Strong interest in interdisciplinary and