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spoken Requirements for the position are: experience of programming for data analysis, for example in Python, MATLAB, R, or similar collaborative and able to work in a structured manner within a research
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knowledge of relevant machine learning and AI techniques Proven scientific excellence as evidenced by strong scientific publications and track record relative to career stage Strong programming skills (Python
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, excellent study results, high proficiency in programming (preferably in Python), good communication skills with sufficient proficiency in oral and written English, personal characteristics such as a high
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strong interest in developing new theory and methods for signal processing and machine learning strong mathematical background good proficiency in programming (preferably in Python) good oral and written
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engineering, including performance and conceptual design Experience in energy systems modelling and mathematical optimization Programming skills in, for example, Matlab, Python, C++, Fortran, or equivalent
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experimental characterisation of materials Background in multiphysics modelling Programming skills (e.g. Python, MATLAB, or similar) What you will do Pursue doctoral studies within the Graduate School of Solid
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your application: Knowledge in atmospheric science, radiative transfer and remote sensing. Knowledge in microwave radiometry. Proficiency in Python. What you will do Take courses at an advanced level
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with experimental characterisation of materials Background in multiphysics modelling Programming skills (e.g. Python, MATLAB, or similar) What you will do Pursue doctoral studies within the Graduate
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Familiarity with R, STATA, IBM SPSS Statistics, or Python What do we offer? A creative and inspiring environment with wide-ranging expertise and interests. Karolinska Institutet is one of the world's leading
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, Neuroscience (or equivalent) Strong written and verbal communication skills in English Experience in neural signal processing, electrophysiology, or brain–computer interfaces Programming experience (e.g., Python