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interpretable deep neural networks is required. Candidate must have published in top journal and conference at least one scientific paper in interpretable machine learning (not explanations of black boxes) among
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and spoken proficiency in both English and German Preferred qualifications Experience in managing collaborative research networks Familiarity with data privacy regulations, open science practices, and
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on performance and funding. Salary at or above current NIH NRSA scale plus full Emory benefits Access to cutting‑edge instrumentation, career‑development workshops, and CPMM network of academic and industrial
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? With data-driven methods, new opportunities arise to understand ecosystems as complex, dynamic networks. This project aims to analyse the world’s most extensive eDNA database, consisting of weekly
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metabolism in rare and more common neurodegenerative or neurometabolic diseases. We exploit genomic and post-genomic data to fill gaps in metabolic networks, discover new enzyme functions, and elucidate
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Responsibilities: Ensure communication with internal and external stakeholders Organize and prepare content/analysis for project events, such as stakeholder meetings and policy briefs Network with researchers and
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institutions, Luxembourg's leading international financial centre and its vibrant business community. Institutional and private sector partnerships, sponsored Chairs and a growing network of international
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that you develop. Both in the practical and simulation work you will be guided and supported by other post-docs and senior researchers, in Luxembourg and from our international network of collaborators. You
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scientific manuscripts describing research findings Attend national and international meetings to present research findings, learn about the latest advances in the field, and develop a scientific network Apply
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Research / Post-Doctoral Associate in the Division of Science Computer Science, Dr. Djellel Difallah
to develop applied research skills in machine learning, interact with an international network of collaborators, and gain post-doctoral research experience. The ideal candidate is self-motivated and can work