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collect and analyse health data, identify risks, advise government and experts, and develop new scientific methods. We are based in Berlin, Wildau and Wernigerode. Get started now Apply directly through the
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project aims to develop hydroborate-based all-solid-state batteries. A central objective is to achieve a deep, mechanistic understanding of the processes that govern electrochemical performance and cycling
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the noise associated with near-term quantum devices. This in turn offers an exciting new dataset from which it will be possible to use machine learning to train a more accurate functional for use in density
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supply chain resilience. Following a PhD‑by‑papers route, the research aims to deliver three high‑quality scholarly outputs and develop insights to enhance supply chain management practise. This project
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to: Designing and implementing pharmaceutical evaluation studies using RWD and/or omics data Extracting, cleaning, and processing large-scale EHR, claims and/or omics data for analysis Developing and applying
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Job Advertisement Job-ID 04/2026 At the Leibniz Institute for Natural Product Research and Infection Biology (Leibniz-HKI), we investigate the pathobiology of microorganisms and develop new natural
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molecular imaging Team with access to both cutting-edge instrumentation for preclinical imaging and world-renowned expertise. Together, we are developing next-generation whole-body imaging tools for cancer
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environmental toxicology, you will have the opportunity to advance Adverse Outcome Pathways (AOPs) and support the development of New Approach Methods (NAMs), thereby contributing to a more sustainable and
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detection and automation. The UMLFF project aims to develop next-generation MLFFs with built-in uncertainty predictions to enable safe, automated active learning and create broad, reliable MLFFs. You will
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. to work on projects to: (1) Develop innovative mouse models of prostate cancer to determine genetic determinants of immune suppression and metastasis. (2) Uncover heterogeneous senescent cell types and