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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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of medium-resolution satellite remote sensing data such as Landsat and Sentinel-2. Very good programming skills (e.g. Python, JavaScript). Very good oral and written proficiency in English. Other merits
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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
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to research proposals or applications for external funding. Strong programming skills in Python and/or MATLAB, with experience in scientific computing, signal processing, simulation, or machine-learning
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of large-scale biological datasets will be considered a strong advantage. Experience with CRISPR-based approaches or statistical programming in R or Python is desirable but not required. The application
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MS data analysis using software such as FragPipe and DIA-NN, as well as basic programming skills in Python. Practical experience in antibacterial assays based on dilution or diffusion methodologies
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, particularly in R, Python, or other relevant languages, is required. Qualified candidates should also meet the following criteria: a Ph.D. or M.D./Ph.D. in computational biology, or in biomedical sciences with a
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, for example in Python, C++, and an interest in further developing these skills, the ability to work independently and in a structured manner; good collaboration skills, good oral and written communication
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notebooks, Python or similar, are merits. About the employment The employment is a temporary position of 2 years according to central collective agreement, with the possibility of an extension of up to 1 year
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in computational fluid dynamics Experience in computer programming, in particular Python and Matlab, and in CAD and CAE tools Ability to work independently and also to enjoy collaborating with others