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Postdoc (f/m/d) on Generative AI for de Novo Protein Design / Completed university studies (PhD) ...
Area of research: Scientific / postdoctoral posts Starting date: 01.02.2026 Job description: Postdoc (f/m/d) on Generative AI for de Novo Protein Design With cutting-edge research in the fields
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encompassing a spectrum of topics ranging from genomic analysis to clinical trial design in childhood hematological malignancies. Trainees will be closely integrated with the rich portfolio of the St. Jude
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Contribution to feasibility studies in architecture and urbanism in the context of Luxembourg Teaching territorial design, urban design or architectural design as well as theory of urbanism and/or architecture
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photonics, nonlinear optics, and frequency metrology is highly desirable. Specific skills of interest include design of integrated photonics devices using commercial computational electromagnetic modeling
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and Trust (SnT) at the University of Luxembourg is a leading international research and innovation centre in secure, reliable and trustworthy ICT systems and services. We play an instrumental role in
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research results to various communities and a wider public Academic self-administration For questions and further information, please contact Your profile PhD in Inclusive education, with a focus on at least
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and Trust (SnT) at the University of Luxembourg is a leading international research and innovation centre in secure, reliable and trustworthy ICT systems and services. We play an instrumental role in
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and Trust (SnT) at the University of Luxembourg is a leading international research and innovation centre in secure, reliable and trustworthy ICT systems and services. We play an instrumental role in
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perturbation prediction, including the design and implementation of novel training strategies under experimental constraints, e.g., active learning and other data-efficient approachesConduct large-scale
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Postdoctoral Research Associate - Hybrid Computational-Experimental Scientist in Bacterial Drug Resp
to antibiotics and host-like conditions. • Develop and apply statistical or machine-learning methods for interpreting single-cell and genomic datasets. • Work closely with wet-lab scientists to design perturbation