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College Station, Texas is a nationally ranked program that engages in interdisciplinary research spanning the entire spectrum of ecological levels, from the smallest genetic components to entire ecosystems
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Fermilab, Computational Science and Artificial Intelligence Directorate Position ID: FNAL-CSAID-RESEARCHASSISTANT [#30908, FermiEAC-RA] Position Title: Position Type: Postdoctoral Position Location
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an international call to hire 1 (one) Researcher, in form of an Unfixed-Term Contract and at full-time under the Research Project “SmartADC Design of a ultra high-speed time-interleaved ADC using genetic algorithms
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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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unify programs and curricula in data science with an initial emphasis on questions grounded in data that are generated by human activity, including computational social science (e.g., algorithmic
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Description: Apply Position Description Position Description: The Duke Master of Interdisciplinary Data Science (MIDS) program invites applications for an Adjunct Assistant Professor position with expertise in
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algorithms for the next generation of particle physics experiments and also explores other ways AI can accelerate scientific discovery. The group collaborates closely with computer scientists, astrophysicists
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Description Primary Duties & Responsibilities: Implements: Algorithms and computer software for analyzing omics-based data sets [high-throughput, massively parallel genomic/proteomic/clinical]; Data management
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scholars to pursue their finest work. We are part of the Physical Sciences Division which includes departments such as math, statistics, and computer science, as well as several interdisciplinary research
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, epidemiological data and outcome modelling using AI-assisted algorithms, as well as multi-modal data integrations. An established data infrastructure with expertise and computational pipelines for these analyses