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Job Description Join the Multi-omics Network Analytics Research Team as a Postdoc in Computational Biology at the Danish Technical University (DTU) Are you an experienced scientist with a passion
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participate in inter-site collaborations as well as regular meetings of the consortium that provide networking opportunities. As a research-focused University embedded in the South Wales Compound Semiconductor
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connection to the research environment, and a comprehensive national and international research network and good industrial and professional collaboration. Please refer to Department of Animal and Veterinary
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. These technologies are highly novel and one-of-a-kind, and the project is expected to result in several highly impactful publications. You will coordinate your work within an (inter)national network of collaborators
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identifying avenues to escape these traps. Qualifications: The successful candidate will have:-A PhD by the time they begin the position.-A background in group concept/interrelationship mapping and/or network
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statistical approaches. A fundamental understanding of Deep Neural Networks as applied to high-frequency time series datasets, including the ability to design and implement custom NN models in PyTorch, as
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developing characterisations of network models and interactions with methods in statistical machine learning. The post holder provides guidance to junior members of the research group including project
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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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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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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