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work across disciplines. The candidate will be attached to both FORM (hosted by the Department of Mathematics and Computer Science) and DIAS and should be prepared to engage in multiple and diverse
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 21 hours ago
in precision nutrition research. Our on-site facilities include multiple wet labs and clinical facilities as well as a vivarium and a metabolic chamber. Approximately two hours from UNC-Chapel Hill
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sequencing and imaging data to facilitate the paper figures of lab members. Candidate will train on the labâ™s fundamental algorithms and run them in a collaborative manner with other team members to generate
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researcher in algorithmic game theory and/or online learning, working with Prof. Celli at BIDSA and the Department of Computing Sciences. The project studies how multiple machine learning algorithms interact
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School of Information Science and Technology(SIST) Academic Disciplines: ShanghaiTech University invites highly qualified candidates to fill multiple tenure-track/tenured faculty positions as its
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to support the growth of your lab, including EU programs and strategic industry partnerships. Project Management: Managing multiple projects simultaneously, establishing schedules, and resolving bottlenecks
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. Provide accurate and timely follow-up with staff, patients and families. Process accurate and timely admissions as requested. Patient placement in accordance with placement guidelines, fill algorithms and
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, discrete and combinatorial algorithms, and high-performance computing and large-scale algorithms. Preferred Qualifications: Potential for or experience with writing grant proposals to funding agencies. About
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versatility of deployed wireless systems. You study how to implement both localization and radar sensing capabilities using a single radio platform. Traditional localization systems typically rely on multiple
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, including classification, regression, clustering, and deep learning algorithms. • Statistical Software: Proficiency in statistical software such as SAS, Stata, R or Python, including relevant packages