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and chemoenzymatic synthesis of post-translationally modified peptides with repeat structures development of fragment linking methods for the synthesis of long proteins, bioassays tasks for personal
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Max Planck Institute for Astronomy, Heidelberg | Heidelberg, Baden W rttemberg | Germany | about 4 hours ago
research, encompassing large observing programs in planet and star formation as well as exoplanet search, instrumentation development, theoretical modeling, and laboratory astrophysics. A number of exciting
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and ageing Design and perform molecular studies on iPSC-derived skeletal muscle cells and aged mouse models Independently analyze data and develop innovative experiments Support the preparation
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Leibniz-Institut für Präventionsforschung und Epidemiologie – BIPS GmbH | Bremen, Bremen | Germany | 12 days ago
200 employees, BIPS is focused on researching and developing preventive measures for non-communicable diseases. We work interdisciplinary to develop scientifically-based approaches to disease prevention
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team opportunity to lead the development of a new high-density EEG lab, including MR-compatible source localization setup (64 active electrodes, shielded chamber) access to top-tier research
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Institute for Prevention Research and Epidemiology - BIPS is one of the oldest epidemiological research institutes in Germany. With more than 200 employees, BIPS is focused on researching and developing
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. Applying online in the DAAD portal (Read notes on applying in the portal >> ) Prepare application documents If necessary, translate documents (unless they are already in German or English). Scan paper
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The Leibniz Institute for Solid State and Materials Research Dresden e. V. (IFW Dresden) conducts modern materials research on a scientific basis for the development of new and sustainable materials
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well as a comprehensive portfolio of training and career development opportunities. Each fellow will be embedded in a co-supervision framework designed to support high-quality mentorship, promote mutual
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projects on metabolic diseases * Develop and apply machine learning models for biomarker discovery, patient stratification, and prediction of disease trajectories * Collaborate with clinicians