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fields. Knowledge: scientific programming, data analysis and processing, artificial intelligence and machine learning, computational modelling and simulation, and fundamentals of physical problem modelling
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manipulative online practices. • Identifying gaps and proposing appropriate scientific solutions. • Applying and evaluating generative AI technology to enhance the customer experience Expertise required
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University of California, San Diego | Estancia de San Diego, Guanajuato | Mexico | about 15 hours ago
qualifications Candidates with at least 3 years of strong scientific writing experience, including manuscript preparation, research protocols, delivery of educational programming, or demonstrated
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Human Technopole Location Milan (IT) Salary € 46.000,00 - € 50.000,00 Closing date 10 Oct 2026 Website https://careers.humantechnopole.it/job/Research-Software-Engineer-%28BioinformaticsML%29/873-en_GB
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scientific instrumentation Diagnose and repair equipment such as Doppler radar, lidar, weather stations, cameras, and air-quality instruments Install instrumentation on fixed and mobile platforms and
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, maintains scientific equipment, supports laboratory safety and waste procedures, and communicates with faculty regarding instructional support needs. Key Responsibilities Plan and coordinate semester
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, virtualization platforms, scientific software, and related services. This position ensures system availability, performance, security, and reliability while collaborating with faculty, staff
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technical staff on the programming and machine processing of data; analyzes quantitative and qualitative statistical data and prepares interpretative reports and graphic presentation of research material
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technical staff on the programming and machine processing of data; analyzes quantitative and qualitative statistical data and prepares interpretative reports and graphic presentation of research material
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, computer science, information systems, data science, or a related discipline. Programming & Data Skills : Strong proficiency in Python (e.g., NumPy, Pandas, scikit-learn, PyTorch, TensorFlow); additional