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publications and international conference presentations. Experience from programming with e.g. Python, Ability to express yourself very well in English, in speech and writing,as this will be required in day-to
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, or Python. Experience in visualization software, e.g., Blender, DragonFly. Knowledgeable in programming, e.g., Python. Experience in developing user-friendly Graphical User Interfaces (GUI:s) High motivation
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. In addition, the following are requirements for the role: Strong programming and quantitative skills, particularly in Python and/or R. Experience in deep learning, machine learning, or large-scale
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environment. Particularly meritorious are experience with GPS or other mobility data, PPGIS, wearable data, environmental exposure modelling, longitudinal or repeated-measures data, and programming in R, Python
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MRI data processing and analysis. Knowledge of cardiovascular physiology. Experience programming in MATLAB and Python. Experience in systems biology, mathematical modelling, and digital twins
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, adipocytes, insulin resistance or type 2 diabetes; • integration of proteomics, lipidomics and interactomics data using R, Python or equivalent tools; • supervision, laboratory training
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collaborate across disciplines. Basic programming or data-analysis skills (Python/R) are meriting but not required. After the qualification requirements, great emphasis will be placed on personal skills. Target
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bioinformatics, Computational Biology, or related fields is required. Proficiency in Bash, R, and/or Python is essential for data analysis and multiomics integration, and bioinformatics tasks. Ability to work
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in Electrical or Mechanical Engineering, Computer Science, or a related subject. Proficiency in C++, Python, and ROS 2 is required. Strong scientific skills with proven excellence in real-life
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ultrasound sensing and hyperspectral imaging is necessary. Proficiency in Python programming, particularly with Python libraries such as Spectral Python (spectral), NumPy, SciPy, and OpenCV and familiarity