1,765 data-"https:"-"https:"-"https:"-"https:"-"Washington-University-in-St" Fellowship positions
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information about us, please visit: www.dbb.su.se . Project description The candidate will develop machine learning (ML) strategies, primarily revolving around interpretable ML and generative AI, to study
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for the Expansion of Wellbeing Archaeology (KNEWA). KNEWA will run for 1 year, it will collect and compare data on policies and delivery of WA in England, Denmark and Italy to advance understanding of what works in
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(DoE) plan Plan and execute experiments Capture and analyse data Resolve technical problems Perform technical research and technical report writing Requirements: PhD in Mechanical, Electrical and
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. • Experience with data analysis using statistical inference techniques. • Experience with health economic evaluations. • Experience with parallel and/or high-performance computing. • Familiarity with agent-based
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Posting Details Position Information Posting Number PG191567PD Position Number 00111652 Position Type Post Doc FLSA Departmental Information Department ID 192001 - CVM Teaching Hospital Department
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expectations and evolving professional and creative sector demands, including the implications of generative AI. The Fellow will design and carry out research activities, including data collection, analysis, and
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molecular techniques, genomic approaches, and genetic and xenograft mouse models. For more information on the research lab please visit here . As a successful candidate you will: · Design and conduct
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, the selected candidate will advance ongoing correlative studies by analyzing immune markers of response in clinical samples. For more information about Dr. Kortylewski’s lab, please visit the Kortylewski Lab
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months. Further information is available in the role profile. To apply for this vacancy please click ‘Apply Now’ to complete your details and upload a copy of your CV. Please contact Prof Ricky Wildman
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catalytic systems. The postholder will develop and apply advanced simulation techniques, analyse molecular simulation data, and contribute to collaborative research combining computational modelling with