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understand, explain and advance society and environment we live in. Your role The University of Luxembourg invites applications for a fully funded Ph.D. position in machine-learning force fields (MLFFs
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and to large, longer-term petabyte-scale storage (~6 PB). The computer cluster offers over 400 software modules (e.g., Gromacs, Gaussian, Mathematica, MATLAB, MOLPRO, Turbomole). Responsibilities
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Translation; practical experience conducting data-driven research in a machine translation/large language models (LLM)-related area using a variety of technologies, including eye-tracking; experience as
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expertise is required in categorical data analysis, longitudinal data analysis, and risk modeling using statistical and machine learning approaches. Experience with supervising and managing clinical research
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information please visit: https://www.brunel.ac.uk/about/our-history/home We are seeking to appoint a Research Assistant who will work on the ELOQUENCE European project which aims to study Large Language models
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selected Master and PhD students with financial support. Where to apply Website https://www.timeshighereducation.com/unijobs/listing/408577/cbs-assistant-profe… Requirements Additional Information STATUS
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AI to predict safety outcomes for multiple targets and combination therapies Collaborate with research teams and data scientists to design data-driven strategies using machine learning/AI methods
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acceleration of large-scale machine learning workloads Perform characterization and modeling of electronic and optical devices Develop hardware-aware machine learning models incorporating electronic and optical
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. Subject matter expertise for area(s) of responsibility. PHYSICAL REQUIREMENTS*: Constantly perform desk-based computer tasks. Frequently sitting. Occasionally stand/walk, reach/work above shoulders, use a
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, military status, national origin, pregnancy, race, religion, sex, sexual orientation, or veteran status. Final candidates are subject to successful completion of a background check. Additional Information