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, Artificial Intelligence, Data Science, Electronic Engineering or a closely related discipline. You will have practical experience of Python for machine learning or data analysis, including experience of
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research and data analysis, and proficient in written and spoken English. Good programming skills (e.g. Python, R, or MATLAB) and previous experience with EEG/fNIRS/fMRI/eye-tracking/computational
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data science, bioinformatics, computer science, or a related field. Strong quantitative skills and experience with R and Python are expected. Experience with cohort data, app-based data, electronic
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to verify whether gaze dynamics can provide a behavioral index of internal cognitive processes. The candidate will be required to program the experiment in MATLAB/Python, collect data, and analyze
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CFM-Centro de Física de Materiales/MPC-Materials Physics Center | Donostia-San Sebastian, Pais Vasco | Spain | 14 days ago
acquisition, instrumentation and scientific programming (Python, MATLAB or similar) will be highly appreciated. Previous experience in quantum optics, squeezed light or optical levitation will be considered
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refining ideas to understand how design shapes behaviour and experience. Students are introduced to key tools and platforms such as Arduino and sensors, TouchDesigner, and introductory Python
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society. Recognised Researcher position has been opened. The ideal candidate holds a master's-level background in robotics, AI or related fields, with strong Python/C++ skills and experience in machine
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du er stud.polit. Gerne lidt erfaring med anvendelse af analyseværktøjerne Stata og Python. Positiv indstilling til dataarbejde og kvantitative/økonometriske problemstillinger. Interesse for anvendt
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Bluesky experiment orchestration package, and knowledge of beamline controls. The position will require programming skills, mostly with Python. To understand the vision of beamline operations inspiring this
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, applications, tools, and services for the broader research community to use data at scale to pursue scientific inquiry and accelerate discovery. Learn more at https://gdc.cancer.gov/ https://gen3.org/ https