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equipment 6 weeks holiday per year; company holidays between Christmas and New Year's Day very good compatibility private and professional life; offers of mobile and flexible work PhD Buddy Program family
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Leipzig, Sachsen | Germany | 14 days ago
, data science, health informatics, epidemiology, biostatistics, or a related field. Advanced degrees (e.g., MSc + MPH or PhD) are desirable. Proven experience in managing clinical or epidemiological study
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private and professional life; offers of mobile and flexible work #PhD Buddy Program #family-friendly company policy with childcare facilities, e. g. nursery close to the company #free assistance program
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, 65 %). The Institute of Pharmacology focuses on deciphering the molecular mechanisms that control regeneration as well as tumor initiation and progression in epithelial tissues. The PhD project aims
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extensive professional networking opportunities A structured PhD program with a comprehensive range of continuing education and networking opportunities - more information about the PhD program at the HZDR
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per year; company holidays between Christmas and New Year's Day very good compatibility private and professional life; offers of mobile and flexible work PhD Buddy Program family-friendly company policy
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, mechanisms and health consequences of childhood obesity. In a translational approach, experimental research, clinical studies and genetic approaches are combined. Our international and interdisciplinary team
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Germany Application Deadline 31 Oct 2025 - 22:59 (UTC) Type of Contract To be defined Job Status Other Offer Starting Date 10 Sep 2025 Is the job funded through the EU Research Framework Programme? Not
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Carl von Ossietzky Universität Oldenburg | Oldenburg Oldenburg, Niedersachsen | Germany | about 2 months ago
a powerful bridge between biology and engineering. The PhD offers training in computational neuroscience, neural circuit modeling, and AI/robotics, as well as strong interdisciplinary exposure through
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performance in fuel cell (biogas) and co-electrolysis applications. To achieve this, you will employ computational fluid dynamics (CFD) and machine learning (ML) to investigate degradation mechanisms under