2,546 assistant-professor-computer-science-data-"https:"-"https:" Fellowship positions
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. Experience with AI/ML algorithms and prediction model development. Familiarity with data structures, algorithms, software engineering best practices, and computational efficiency is highly desirable
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candidate is also expected to assist with the general programme of work that is conducted in the Centre. Overall, the icing test facilities and industrial relationships are unique within the UK and offer a
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using structure‑based and medicinal chemistry approaches, contribute to pharmacokinetic optimisation, and support broader discovery activities, including data analysis, sample preparation, and report
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abroad. For more information, please see our web site . Qualification requirements Applicants must satisfy the requirements for admission to the faculty´s PhD programme. This normally includes: Applicants
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Position Description The John A. Paulson School of Engineering and Applied Sciences (SEAS) seeks applicants for two Postdoctoral Fellow positions in Assistant Professor Sitan Chen ’s research group, to work
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Posting Information Posting Number FAE1908 Advertised Title Postdoctoral Fellow in Machine Learning and Computational Biology Campus Location Main Campus (Memphis, TN) Position Number 023825
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Details Title HMS - Postdoctoral Fellow in Biomedical Informatics (DBMI) School Harvard Medical School Department/Area Biomedical Informatics-Quad Position Description The Department of Biomedical
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fieldwork training and technical expertise. Supervise and assist students in field data collection, manages equipment and safety processes, and maintains an active research profile through high-quality
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WMG, we are undertaking research into how traditional Li-ion battery cell design can be optimised through the application of systems engineering, component modelling and data science. Creating new
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machine learning methods for computational materials physics and chemistry. Projects include: The aim is to develop generalized equivariant neural network models NequIP and Allegro for machine learned