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Observatory (Part Time) Posting Number req25571 Department Steward Observatory Department Website Link https://astro.arizona.edu/ Location Steward Observatory Address 9040 S. Rita Rd, Suite 1500, Tucson, AZ
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for farm-farm interaction Development of coupled LES and aero-elastic models using the actuator line method Analysis and design of wind farm control through LES and machine learning Scientific publication
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bargaining unit's employment contract, stay abreast of current negotiations and learn about collective bargaining at UC: https://ucnet.universityofcalifornia.edu/labor/bargaining-units/index.html High quality
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Conocimientos de programación de nivel medio a avanzado (lenguaje preferido: Java). Conocimientos básicos sobre machine learning. Capacidad para redactar artículos científicos de alta calidad (por ejemplo, tesis
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equivalencies: https://hr.uky.edu/employment/working-uk/equivalencies Required Related Experience No experience required. Required License/Registration/Certification Registered Nurse (RN) and must advance on UKHC
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Williamsburg, KY Grade Level 00 Salary Range Type of Position Staff Position Time Status Full-Time Required Education No set minimum requirements. Click here for more information about equivalencies: https
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or similar) Preferred Qualifications: Experience with MRI/fMRI/DTI, PET, multimodal fusion, and/or machine learning Strong programming skills (Python/MATLAB), version control, and HPC workflows Special
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research interests, career aspiration. Job Summary The Kaczorowski lab is seeking a computational biologist who is active at the intersection of single-cell biology and machine learning to join our group
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problem solving and the engineering design process. The courses also include the use of computer tools such as Excel, MATLAB, C/C++ (Honors only), and solid modeling software. In the labs, students collect
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reliable data pipelines that power machine learning models, analytics platforms, and enterprise reporting. They will have responsibility for sourcing, cleaning, validating, and integrating data across