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the two teams. The position offers a strong publication trajectory at leading HCI venues (e.g. CHI, DIS, TEI, SportsHCI), access to the Sports Tech Center Twente and the Dutch Sportinnovator network
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 16 hours ago
to develop a professional network within the international malaria research community. The fellow will be encouraged to develop a portfolio of work that supports progression toward research independence
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such global actorness is made more complex by a number of current challenges related to a competitive and fragmented world context. The GLOBALEUTY project pursues a set of general objectives, among which we
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Post Doctoral Researcher / Senior Post Doctoral Researcher - School of Biochemistry and Cell Biology
and development, and staff networks. We value the enrichment that comes from a diverse community and seek to promote equality, prevent discrimination and protect the human rights of each individual in
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multidisciplinary team alongside clinicians and staff specialists who provide practical, real-world insights and expert guidance to support the interpretation and analysis of complex data. Associate Professor Mei
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Qualifications Experience with graph neural networks, machine-learning interatomic potentials, or related scientific machine-learning methods for atomistic systems. Familiarity with uncertainty quantification
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-augmented generation (RAG) approaches Systems and mathematical modeling of biological or complex systems Natural language processing and machine learning Data harmonization and integration Record of research
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, and an alumni database for outcomes and networking. Support the postdoctoral community and institutional mission by assessing needs, writing grant support letters, and supervising the Harvard Medical
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(metagenomic/transcriptomic analysis). These are critical for interpreting complex datasets and translating them into publications for supporting grant proposals. c) Mentoring and training graduate students
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. Olga Fink ). IMOS develops advanced machine-learning and AI methods for complex engineering and industrial systems, with a particular focus on improving their reliability, availability, and operational