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Max Planck Institute for Astronomy, Heidelberg | Heidelberg, Baden W rttemberg | Germany | 22 days ago
Job Code: 401 Job Offer from September 15, 2025 The Max Planck Institute for Astronomy (MPIA) in Heidelberg is seeking a dedicated and highly qualified postdoctoral researcher with observational
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Berlin City Berlin Website https://www.hu-berlin.de/de Street Unter den Linden 6 Postal Code 10099 STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail Pocket Viadeo
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Job Code: 05-2025 Job Offer from September 05, 2025 The “Muscle Metabolism and Ageing” group is interested in understanding the regula-tion of anabolic and catabolic processes in skeletal muscle
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Code12489StreetRudower Chaussee 25Geofield Contact State/Province Berlin City Berlin Website https://www.hu-berlin.de/de Street Unter den Linden 6 Postal Code 10099 STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn
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Linden 6 Postal Code 10099 STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail Pocket Viadeo Gmail Weibo Blogger Qzone YahooMail
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Street Unter den Linden 6 Postal Code 10099 STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail Pocket Viadeo Gmail Weibo Blogger Qzone YahooMail
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Code10117StreetJohannisstraße 10Geofield Contact State/Province Berlin City Berlin Website https://www.hu-berlin.de/de Street Unter den Linden 6 Postal Code 10099 STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp
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-throughput screening frameworks. HPC Proficiency: Advanced-level experience working with HPC systems, including parallel computing, job scheduling, and optimization of simulation codes for large-scale
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Leibniz-Institut für Präventionsforschung und Epidemiologie – BIPS GmbH | Bremen, Bremen | Germany | about 1 month ago
-institut.de Street Achterstraße 30 Postal Code 28359 E-Mail fuhr@leibniz-bips.de STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail Pocket Viadeo Gmail Weibo Blogger Qzone
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Qualifications: Doctoral degree with quantitative training (ideally in econometrics) or relevant research experience. Strong coding skills in R, Stata, or other statistical software package. Good communication