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Field
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The research group of Sergei Gukov at Caltech is seeking a Post-Doctoral Researcher to join our new team. The selected candidate will contribute significantly to a focused research program in Artificial
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Bioinformatician at the intermediate or senior level. The Breuss laboratory is focused on employing and developing statistical machine learning, bioinformatic algorithms, and related approaches for the detection
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to obtain access to NOAA Computational Facilities. This position is contingent on extramural funding. WHO WE ARE Texas A&M University-Corpus Christi is a vibrant, Hispanic and Minority Serving Institution
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development pertaining to chemical and biological detection. You will gain experience with algorithms, data analysis, Deep Learning, Python, pytorch and /or tensorflow, NLP, genetic algorithm, computer vision
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using jets and heavy-flavor probes. The candidate will also participate in algorithm and software development for the LHCb trigger system as part of the Real Time Analysis Project. A Ph.D. in experimental
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-photonic computing architectures; Silicon-photonic network architectures Machine Learning Algorithms/Systems: Experience in design and use of ML algorithms; Experience in using ML for designing computing
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Date 07/01/2025 Requisition Number PRN42366B Job Title Post Doc Res Assoc Working Title Post Doc - Computational Pathology Job Grade A00 FLSA Code Administrative Patient Sensitive Job Code? No Standard
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, technologies, models, and algorithms, and provide recommendations on their implementation. Sports Science Data Specialist II Responsibilities Assist in managing technological processes, conducting real-time data
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professional image over the phone and when representing their program. Work Performed Scheduling First point of contact for patients, referring providers and care teams to coordinate oncology care. Oversee
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areas, such as AI/ML algorithms and theory. We also encourage applicants with a strong computer science background and research in applied AI/ML to apply. This is a 9-month tenure-track position located