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technology. Development of cutting edge foundation models for protein design, small molecule property prediction, or protein function prediction Data generation and curation, including molecular simulation and
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. The successful candidate is expected to co-supervise a PhD student working in this project. We are looking for candidates who have: a completed PhD degree in physics, electrical engineering or similar field
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into six subclusters (Hazards, Dietary, Knowledge, Urban, Inequalities, Conflict), three supportive research platforms (Technical Platform, Data Management and Data Science Platform, Outreach and
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, including sophisticated primary cell models and organoids, along with advanced cellular biology techniques. The offered post-doctoral researcher position is within the Research Unit “Emerging Viruses” (Head
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Karlsruher Institut für Technologie (KIT) | Karlsruhe, Baden W rttemberg | Germany | about 2 months ago
13 Oct 2025 Job Information Organisation/Company Karlsruher Institut für Technologie (KIT) Research Field All Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Country
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electron imaging integration of motion analysis in collaboration processing of images in preparation for image-based modelling Your profile PhD in physics, materials science, computer science, applied
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into six subclusters (Hazards, Dietary, Knowledge, Urban, Inequalities, Conflict), three supportive research platforms (Technical Platform, Data Management and Data Science Platform, Outreach and
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of German is not required, it will be considered a plus. Specific Requirements PhD degree in physics or chemistry, or equivalent Interest in materials science Good written and spoken English Ability to work
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Max Planck Institute for Astrophysics, Garching | Garching an der Alz, Bayern | Germany | 13 days ago
more accurate and faster predictions for galaxy formation and related observables such as secondary CMB anisotropies. Some of the addressed science topics include: Improving the physical fidelity
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experimental data. Publishing results in peer-reviewed journals and presentations at conferences. Supervise and support graduate and undergraduate students. Your Profile: Excellent PhD in materials science