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Apply online now: https://karriere.klinikum.uni-heidelberg.de/index.php?ac=application&jobad_id=28417 PhD student (m/f/d) with a focus on epidemiology and tools for screening of Tuberculosis
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collisions, expected mid-2030s. The PhD project focuses on: (i) simulation, design, and testing of a photon calorimeter for the EIC luminosity monitor (ii) development of reconstruction tools and physics
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high-impact international journals and develop a cumulative doctoral thesis. Your tasks: • Plan, coordinate, and participate in field campaigns for aquatic sediment sampling. • Design and conduct
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. 💰 Fully funded: Enjoy a competitive, internationally attractive funding scheme with no tuition fees and up to five years of financial support. Where to apply Website https://jobrxiv.org/job/max-planck
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design of complex physical systems. The group is jointly embedded at Saarland University and DFKI in Saarbrücken. Current Research Directions include: AI for scientific computing – neural operators and
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damaged organs, treat genetic disorders, and address unmet medical needs. As a RAMP-UP doctoral fellow, you will join an international, interdisciplinary training environment designed to translate cutting
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, integrity, and authenticity of wireless communications. You will design, implement, and analyze physical-layer security strategies using advanced simulation and measurement platforms. Specific tasks include
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, in Africa, Eurasia, and Europe. While each Research Cluster has its own thematic focus, they are designed to speak to each other, and many projects productively bridge two or more clusters. As a PhD
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planned for the next decade About your role: understanding and identifying the electromechanical accelerating cavity system designing, simulating, implementing, and testing novel system identification
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | about 1 month ago
innovation. Through strong partnerships, we accelerate the transfer of new ideas from the lab to real-life applications, improving lives. What biological information is hidden in biomedical imaging data – and