40 computational-physics "https:" "https:" "https:" "https:" "NORTHUMBRIA UNIVERSITY" PhD positions at Leibniz
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The Leibniz Institute for Prevention Research and Epidemiology – BIPS in Bremen, Germany, invites applications for its three-year PhD program starting October 1, 2026. BIPS, a leading center for
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at: https://www.ipb-halle.de/institut/ Data protection: Please note the data protection information for applicants (m/f/d) in accordance with Art. 13 and 14 GDPR on data processing in the application process
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(m/f/d) according to Article 13 and 14 GDPR on data protection processing during the application process: https://www.ipb-halle.de/en/career/data-protection-information-for-applicants/
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environment. The candidate will be given the opportunity to develop a doctoral thesis with extensive support through the RTG2413 (www.synage.de ) and the CBBS graduate program (gp.cbbs.eu ). Your profile
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, computer science, medicine, pharmacology, and physics. ISAS is a member of the Leibniz Association and is publicly funded by the Federal Republic of Germany and its federal states. At our location in
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involve protein handling, general laboratory (bio-)chemistry, data analysis and comparison to expected physics. Due to the complex structure of the composite material, we expect emerging effects which can
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laboratory (bio-)chemistry, beamtimes at synchrotrons, data analysis and comparison to expected physics. Due to the complex structure of the composite droplets, we expect emerging effects which can contribute
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. An existing team with expertise and drive to move forward synthetic biology in cancer immunotherapy. A well-structured on-boarding process and clear responsibilities. A highly professional and supportive
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scaffolds using electrospinning. Characterizing their physical, chemical, and mechanical properties. Modifying the scaffolds through process parameters, chemical synthesis and crosslinking strategies
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yield new insights into food-effector systems, sophisticated and tailored computational methods are needed. This project aims at leveraging graph-theoretic approaches to analyze and predict food-effector