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scheduling systems. Basic programming skills in Python are required, as well as experience working with biological or biomedical datasets. The successful applicant should demonstrate the ability to work both
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, including time series analysis and statistics (e.g. mixed effects modelling) Capacity to develop computer code and experience with programming languages (Matlab, Python, R) and geospatial tools (e.g. ArcGIS
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three years prior to the application deadline It is preferred if you have experience in integrated resource assessment (e.g., CLEWs), optimization and sensitivity analysis. Good knowledge of python and
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first with a conventional global model, and then with one that treats clouds with an AI scheme. This will involve coding with the FORTRAN 90 and python languages in a linux environment. The work will be
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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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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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, tissue sections, RNA/DNA, tabular data) for predictive modelling using software such as Python Documented experience of neural networks, image processing, deep learning algorithms, and data visualization
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, or portable robotic platforms Experience in programming and configuring control systems for automation and robotics, including relevant programming languages such as PLC, Python, C/C++, MATLAB, ROS
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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