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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 7 days ago
an inspiring workplace is truly meaningful.“ Get to know us Benefits Career Development: Postdoc program, scientific training & career center with tailored offers Scientific Resources: State-of-the-art
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mission-driven researcher to join a high-impact joint project with the World Wide Fund For Nature (WWF). We are reimagining how the world’s largest mission driven organizations plan, execute, and measure
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computer science and digital technologies. At HPI, you will benefit from close supervision by experienced professors and postdocs, cutting-edge research facilities, and a collaborative academic network, e.g. with
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Austria (ISTA). The position is funded for 2 years (Postdoc, 100%, 40h per week) or 3 years (PhD, 75%, 30h per week). Remuneration is in accordance with the German public tariff scheme (TV-L), salary group
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research projects. Your Profile Master’s degree (for PhD-level appointment) or PhD (postdoc-level), or equivalent expertise in epidemiology, biomathematics, applied mathematics, computer science, biomedical
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Postdoc Positions Application Deadline 29 Mar 2026 - 23:59 (Europe/Berlin) Country Germany Type of Contract Temporary Job Status Negotiable Offer Starting Date 1 May 2026 Is the job funded through the EU
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genomic approaches Application of the modeling approaches in relevant downstream tasks Co-development of high-performance computing AI training codes for the first European Exascale Supercomputer JUPITER
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of the Universität Hamburg and our cooperation partners in regard to an extensive workshop programme on career training and key skills, individual career development, mentoring for female PhDs and postdocs, social
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, the position includes responsibility for the daily maintenance and user support of the institute’s IT infrastructure, as well as long-term planning of servers, storage, backup solutions and high-performance
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-learning–based segmentation, classification and tracking for microbes and microgels in phase-contrast and fluorescence images Optimise these models and pipelines for real-time performance and integrate them