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Candidates (DCs). We aim to create a network of early-stage researchers equipped with knowledge and skills - including entrepreneurship –to develop and support implementation strategies that address
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, please visit: https://qbm.genzentrum.lmu.de/application/ Tuition fees per semester in EUR None Combined Master's degree / PhD programme No Joint degree / double degree programme No Description/content
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AI:GENOMIX Lab focuses on developing AI methods that capture how genes interact to influence the risk of common diseases. Traditional genetic tools often analyse genetic variants independently, overlooking
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The Bernhard Nocht Institute for Tropical Medicine (http://www.bnitm.de/en ) is the largest Research Institute for Tropical Medicine in Germany and is the National Reference Centre for Tropical
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individual interested in studying the regulation of oocyte and embryo development. The research focuses on RNA metabolism and its role in the control of gene expression. This PhD student position is jointly
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department in the ISSA expertise center that develops advanced AI solutions involving AI models, algorithms, implementations, sensors and hardware for small scale edge up to large scale distributed and hybrid
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million were diagnosed with the disease. Therefore, there is an urgent need to develop new therapeutic and diagnostic strategies to control this major global health challenge. To achieve this, we need a
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PhD student position on development of innovative bifunctional oxygen electrodes for SOC technology.
announces a researcher position (R1.4) in the field of energy devices based on solid oxide cells technology. The candidate will work on developing new materials and processing very focused on the development
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will provide PhD training to 15 Doctoral candidates (DCs). Consortium objectives: MetaTune aims to develop a new generation of reconfigurable metasurfaces that enable efficient, simple, and industry
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collective wellbeing and our ability to deliver on our mission. The successful applicant will engage in research using science education to develop evidence-based teaching tools that are helpful to support