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statistical learning for high-dimensional data, solid programming skills (including R or Python) and a strong interest in interdisciplinary research with applications in molecular biology and cancer research
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data analysis using software Experience in R and python is a plus but not mandatory Good presentation and writing skills Proactive, independent, and solution-oriented way of working Fluent English
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foundation in either machine learning or mathematical/computational neuroscience, demonstrable programming experience (Python/PyTorch), and the curiosity to work across disciplinary boundaries. A background in
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; Experience with programming (e.g. Python) is a plus; Familiarity with membrane biophysics or soft matter physics is advantageous; Strong written and oral communication skills in English; Ability to work
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languages (Python, MATLAB) would be considered as assets for the application of the candidate. • Languages: Strong command of scientific English, both written and spoken. • Personal attributes: Autonomy
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which must be in advanced courses in one of these areas. Alternatively, you have gained essentially corresponding knowledge in another way. Experience with programming (e.g., Python, MATLAB, C/C
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robustness, fairness, and accessibility. You will design and run reproducible experiments, measure relevant resource metrics, implement prototypes in Python, and communicate results through publications and
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assessment criteria Experience with programming (e.g. Python, MATLAB, Fortran or similar), numerical modelling, remote sensing, large datasets, or fieldwork is considered meritorious. Employment process
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at the Norwegian University of Science and Technology (NTNU) for general criteria for the position. Preferred selection criteria Experience in remote sensing with satellites Experience in Python, Julia
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computations using the Python-based Taskblaster workflow framework. CAMD offers an international and scientifically stimulating working environment at the Department of Physics, DTU, located in the northern