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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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skills in Matlab and/or Python. Meritorious qualifications Experience in medical image analysis. Knowledge of or practical experience with generative models, anomaly detection, and image and signal
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modelling. Experience in analysing ecological monitoring data (e.g. telemetry, diet and population datasets). Advanced programming skills (R, Python, or equivalent) and reproducible analytical workflows (e.g
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modelling. Experience in analysing ecological monitoring data (e.g. telemetry, diet and population datasets). Advanced programming skills (R, Python, or equivalent) and reproducible analytical workflows (e.g
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) Experience with data analysis software (e.g., Python, MATLAB, Origin) Ability to work collaboratively in multidisciplinary research teams About the employment The employment is a temporary position of 2 years
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(e.g., COBRApy, COBRA Toolbox, RAVEN). Demonstrated experience with machine learning methods and their application to biological or scientific data. Strong programming skills in Python, with experience
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image reconstruction, inverse problems, signal processing, computational imaging, or cryo-EM data analysis is required. Strong programming skills (e.g., Python, C/C++, or similar) and experience with
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degree, obtained within the last three years before the application deadline. Programming skills in Python and data analysis. Track record of scientific publications in international peer-reviewed journals
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application in the life sciences, preferably in microbial genomics. Strong programming skills in Python or an equivalent language. Strong communication skills and experience in working in a team. The following
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degree, obtained within the last three years before the application deadline. Programming skills in Python and data analysis. Track record of scientific publications in international peer-reviewed journals