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). Responsibilities: • (60%) Lead research projects in bioinformatics and data-driven discovery. o Design and execute bioinformatics workflows for multi-omic datasets, including RNA-seq, scRNA-seq, ATAC-seq, and
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on secure and trustworthy data sharing. The development and refinement of maritime AI models depend on access to large amounts of high-quality operational data. However, data sharing across organisational and
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letter, and relevant publications. Where to apply Website https://www.timeshighereducation.com/unijobs/listing/406106/msn-postdoctoral-po… Requirements Additional Information STATUS: EXPIRED X (formerly
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obtained by contacting Prof. Brian Seger . You can read more about the Department of Physics at https://physics.dtu.dk/ . If you are applying from abroad, you may find useful information on working in
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Machine System for Data Quality, our research goal is to create fully automated processes for all phases of the data life cycle. We seek a Postdoctoral Fellow with expertise in Large Language Models (LLMs
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interdisciplinary projects integrated into large national and European research consortia such as the DAPHNE (DAta for PHoton and Neutron Experiments) NFDI consortium and the Cluster of Excellence "Machine Learning
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CLUSTER HIRE - BASIC AND TRANSLATIONAL RESEARCH Requisition # 75723 Position Basics Type of PositionOTHER Advertising Ends on:Extended Until Position is Filled Advertising Started on:Wednesday
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addition to problems in our nation’s health. Key statistical themes in our work include: (a) generalized mixed-effects regression models for the analysis of clustered and longitudinal data; (b) item response theory and
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, sexual orientation, gender identity, religion, disability, age, genetic information, veteran status, marital status, and/or political affiliation in its programs, activities, or employment. See https
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) that provides large-scale, integrated and sustainable data services to the social sciences research community to conduct high-quality research and contribute to solutions to major societal challenges. CESSDA has