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protein engineering to develop agents based on our research into their photophysical properties and structure-function relationship. Finally, we are driving the development of specialized screening
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Max Planck Institute for Evolutionary Anthropology, Leipzig | Leipzig, Sachsen | Germany | 2 months ago
for publication Present your results at local, national, and international meetings and conferences Work closely together with other experimental and computational researchers in the research group and within
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Max Planck Institute for Solid State Research, Stuttgart | Stuttgart, Baden W rttemberg | Germany | 27 days ago
Job Offer from February 13, 2026 We seek a research assistant holding a Bachelor’s degree in Physics, Chemistry, Material Science or a related field (m/f/d) Growth and characterization of high
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research in a diverse and impact-oriented atmosphere. The Chair Group of Production and Resource Economics offers a highly international and stimulating work environment that promotes individual creativity
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the possibility of extension, depending on performance and project needs. Qualifications • For Doctoral Candidates: Master’s degree in Computer Science or Mathematics. • For Postdoctoral Researchers: Ph.D. in
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Description KIT Graduate School Computational and Data Science (KCDS) is a graduate school at KIT Center MathSEE that offers an interdisciplinary training program for doctoral researchers in
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. The Climate Economics and Policy research department, located at EUREF-Campus in Berlin-Schöneberg, is offering an exciting opportunity to be part of the BMZ funded project EVIDENCE. We are currently looking
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: access to the DKFZ International Postdoc Program and DKFZ Career Service with targeted offers for your personal development to further develop your talents Contact: Prof. Dr. Michele Wessa Phone: +49 (0
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degree in economy, political science or sociology. Proven experience in quantitative and/or qualitative social-science methods. A scientific focus on international political economy attained through
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hold a Ph.D. in computer science, machine learning, bioinformatics, or related fields. The applicant should have a strong interest and prior experience in developing machine learning methods and/or