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23 Mar 2026 Job Information Organisation/Company NOVA Information Management School (NOVA IMS) Department Recursos Humanos Research Field Information science » Information management Researcher
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organic chemistry. Prior success in securing extramural funding, especially those that may be transferable to this position. Demonstrate expertise in mathematical algorithms, high-performance computing, AI
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of malignancies, blood disorders, and experimental therapies. Job Summary The Data Science, Analyst will will work to maintain and deploy algorithms for accurate detection, segmentation, and classification of cells
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elsewhere in the job posting. Skills: Algorithms, Analytical Problem Solving, Communication, Computer Literacy, Data Analysis, Data Interpretations, Detail-Oriented, Independent Thinking, Organizing, Python
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access to CCQ resources including computational time, and receive financial support for conference attendance and travel. For more information about careers at the Flatiron Institute, please visit https
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Genetics (GMG) initiative in collaboration with the Global Methane Hub and the Bezos Earth Fund. The global program with more than 50 partners across 25 countries aims to accelerate genetic progress in
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of Chicago Booth School of Business, the Kenneth C. Griffin Department of Economics, the Harris School of Public Policy, and the Law School. The Predoctoral Research in Economics Program (PREP) is intended
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computational approaches. We seek to create a positive, high-energy environment with open and honest communication to empower individuals to discover and refine their purpose and grow into the best versions
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Inria, the French national research institute for the digital sciences | Pau, Aquitaine | France | 2 months ago
into the high-performance code hawen (https://ffaucher.gitlab.io/hawen-website/ ) with the support of the development team, enabling their application to real-world applications. The program will be divided
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complex biological systems. Research Environment & Collaboration The successful candidate will work at the interface of machine learning and biostatistics, developing new theory, algorithms, and scalable