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evaluate machine learning approaches for predicting clinically successful drug targets. For this work, the postdoc will have access to a large high-performance compute cluster and to AbbVie's cutting-edge
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Astrophysics High Energy Physics Data Science / Machine Learning Electrical Engineering (more...) Nuclear Physics Appl Deadline: 2025/08/31 11:59PM (posted 2025/06/26, updated 2025/06/22, listed until 2025
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Job Description Job Alerts Link Apply now Job Title: Research Fellow (OR/EID/NLB) Posting Start Date: 24/06/2025 Job Description: Job Description The Signature Research Programme in Emerging
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. For admission to the Programme the weighted average grade is B or higher is usually required. Co-operation between staff members is an integrated part of the working atmosphere at the University of South-Eastern
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Sciences performs high quality particle physics research with a strong focus on adaptation and application of machine learning methods. Current research includes anomaly searches, evaluation of robustness
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bonding strategies to enable mechanical durability and signal fidelity in multimodal sensors. Conduct validation of sensor arrays across multiple modalities, ensuring performance across variable
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for high dimensional data PhD degree or higher in computer science, biomedical informatics, statistics, computational biology, or a related field; Strong programming skills in one of the traditional
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The long-term structural integrity of steam generators in high-temperature reactors critically depends on the performance of advanced austenitic stainless steels, particularly under creep and creep
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information about AbbVie, please visit us atwww.abbvie.com . Follow @abbvie onX ,Facebook ,Instagram ,YouTube ,LinkedIn andTik Tok . Job Description Program Overview AbbVie needs outstanding individuals willing
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 16 hours ago
for performing arts events. Primary Purpose of Organizational Unit The Department of Anthropology at UNC Chapel Hill fosters an environment where multiple approaches coexist and intersect. We support studies