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) 13 TV-L FU reference code: ONEMuc-FluBind2 The collaborative project ONEMUC – Respiratory Mucus as a One Health Interface investigates how the composition and structure of mucosal barriers (mucus
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) 13 TV-L FU reference code: ONEMuc_FluBind The collaborative project ONEMUC – Respiratory Mucus as a One Health Interface investigates how the composition and structure of mucosal barriers (mucus
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to identify coding and regulatory risk factors for early-onset, aggressive, and/or hereditary cancers The successful candidate will lead projects from conceptualization through publication, including
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, will be given preferential consideration in the event of equal suitability and qualification in accordance with the provisions of the German Social Code IX. In case of further queries regarding gender
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TV-L FU reference code: 637 Who We Are The position is assigned to the workgroup Kuch, which has experience investigating ultrathin magnetic films, surfaces, nanostructures, and adsorbed molecules
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The Department of Biotechnology and Food Science, Institute of Food Technology is currently seeking a Postdoctoral Research Associate (Reference code 14) Extent of employment: 40 hours per week
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policy-as-code for real-time safety checks Parameter-efficient fine-tuning of LLMs for age-appropriate, pedagogically meaningful dialogue High-performance computing pipelines on Luxembourg's MeluXina
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., pyTorch, TensorFlow) Proven publication record in relevant fields Familiarity with high-performance computing environments Familiarity with using and adapting open-source AI models and code repositories
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visualization; applicants are encouraged to include links to relevant code or repositories in their CV experience working with multimodal or data‑driven research workflows and translating quantitative outputs
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and expanding team. You’ll play a key role in our success through your code, publications, and strategic promotion of our work. * PhD in Computer Science, Biomedical Informatics, Machine Learning