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06.09.2021, Wissenschaftliches Personal The Institute for Communications Engineering is currently offering seven positions for PhD or postdoctoral candidates for the project "6G-life" which is
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skills further, there is also the opportunity to aid in the planning, organization, and running of lectures. Required training, skills, and background • PhD degree in bio/medical engineering, materials
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Max Planck Institute for Physics, Garching | Garching an der Alz, Bayern | Germany | about 4 hours ago
for High-Luminosity LHC. These activities are supported by excellent mechanical and electronics engineering departments and workshops. Our ATLAS upgrade projects comprise the development of new front-end and
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- PhD student in quantitative verification interested in co-developing Automata Tutor - main developer of Automata Tutor Positions in the Formal Methods for Software Reliability group of TU Munich led by
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17 Sep 2025 Job Information Organisation/Company Friedrich Schiller University Jena Department Institute for Organic and Macromolecular Chemistry Research Field Chemistry » Heterogeneous catalysis Chemistry » Homogeneous catalysis Chemistry » Solar chemistry Researcher Profile Recognised...
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of gene therapies in preclinical models Actively participate in the development of GMP-compatible protocols for clinical translation Assist in the preparation of regulatory documents and collaborate with
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to the development of personalized microbiome-based strategies to aid in the detection, monitoring, treatment, and prevention of human diseases (e.g., Li et al., Nature Metabolism, 2024; Ni et al., Cell Metabolism
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of clinicians, engineers, and computer scientists, and contribute to publications and conference presentations. Profile PhD track: Master’s degree in Computer Science, Biomedical Engineering, Data Science, or
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creative solutions for complex chemical and process engineering problem. Dehydrogenation processes: Construction of a test stand for the dehydrogenation of diol-based carrier molecules Explorative research
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Your Job: Lead the development and fine-tuning of AI models and LLMs specifically tailored for data mining in the physical sciences and engineering Fine-tuning and evaluation of open-source LLMs