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Field
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for candidates with: A strong BSc and MSc degree in computer science, machine learning, mathematics, physics, engineering, or a related field Strong foundations in machine learning and deep learning Experience
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cutting-edge software engineering, delivering robust, efficient, and scalable performance on current and future exascale computing platforms. The successful candidate will be responsible for maintaining and
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candidate will be required to enroll in a PhD program at Saarland University. Main supervisor: Prof. Nadja Tarakina (INM, https://www.leibniz-inm.de/en/innovative-elektronenmikroskopie/ ). Co-supervisor: Dr
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Leibniz-Forschungsinstitut für Molekulare Pharmaokologie (FMP) | Berlin, Berlin | Germany | about 2 months ago
structures at the molecular level. Integrative methodological approaches for the investigation of ultrastructures, e.g., through the combination of imaging techniques, crosslinking mass spectrometry, and
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an international environment, including state-of-the-art biosafety laboratories (BSL1-3) and numerous core technology platforms with a particular focus on imaging. Your Profile: Applicants must hold a university
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Aug 2026 - 23:00 (UTC) Country Germany Type of Contract To be defined Job Status Full-time Hours Per Week To be defined Is the job funded through the EU Research Framework Programme? Not funded by a EU
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German Cancer Research Center in the Helmholtz Association (DKFZ) | Oettingen in Bayern, Bayern | Germany | about 2 months ago
experimental laboratory research. The successful candidate will become part of the DKFZ International PhD Program (https://www.dkfz.de/en/career/international-phd-program ) and will work in a highly
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PhD program at Saarland University. Main supervisor:Prof. Nadja Tarakina (INM, https://www.leibniz-inm.de/en/innovative-elektronenmikroskopie/ ) Co-supervisor: Prof. R. Mom (ULEI, https
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funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number 12/2026/4 Is the Job related to staff position within a Research Infrastructure? Yes Offer Description
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: School of Science, School of Computer Science and Engineering, and School of Business, Social and Decision Sciences. Our principles are first-class teaching and research, international diversity, and