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, Arduino, Raspbelly Pi, Quectel modules. MATLAB, spectrum analyzers, ESP32 platform, network analyzers: wireshark. Programming in: Java, C, Python. Other requirements to consider: Ability to learn
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computational modeling or machine learning applied to neural data; Proficiency in programming (e.g., Python, MATLAB, or R); Prior research experience in language, cognition, stroke, or brain network analysis is
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Solid programming skills (e.g., Python, MATLAB, C/C++ or similar) Experience in MR sequence programming is highly desirable Strong interest in translational, across-organ imaging research Ability to work
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methods, Mathematical optimisation techniques, Physics-informed neural networks, Scientific programming in Python, MATLAB or equivalent, Analysis of complex multi-modal biomedical datasets Skills Essential
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. Strong research background in biometric security, presentation attack detection, or digital identity systems. Demonstrated programming skills in Python, MATLAB, or C++, and experience with deep learning
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skills in English Programming skills with either Matlab or Python *for students with an education earned outside of Sweden, a 4-year Bachelor’s degree is accepted. The following experience will strengthen
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 3 months ago
experience in FEA/CFD for electromechanical, thermal and cryogenic systems (COMSOL or ANSYS); programming experience in C, Python and/or MATLAB; project development and management experience; experience with
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ocean biogeochemical cycling, including carbon, oxygen, and nutrient cycles, through courses or research experience. Experience in scientific programming (e.g., Python, R, MATLAB, or Fortran). Experience
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., Python, Matlab, C++). A passion for engaging in cutting-edge research and innovation. Salary: Standard Italian PhD scholarship. Application Window: May 30 – June 30, 2026 Contacts: Interested candidates
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analysis. • Hydrological and hydraulic simulation. • Machine learning, including unsupervised clustering and predictive modelling. • Working with large, complex, multi-source datasets using MATLAB, Python