23 python "NTNU Norwegian University of Science and Technology" PhD positions in Sweden
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at the master’s level, strong programming skills in Python, and experience with at least one of the popular deep learning libraries (PyTorch, TensorFlow, Keras, etc.). Good verbal and written communication skills
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security - A very good knowledge in programming (such as in C, Java or Python) - In-depth understanding of computer systems (assembly code, compilers) Additional Information Work Location(s) Number of offers
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results, high proficiency in programming (preferably in Python), good communication skills with sufficient proficiency in oral and written English, personal characteristics such as a high level of
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experience of programming (e.g., Python, C#, C++). Ability in teamwork and to work both independently and in groups. English language proficiency. Personal characteristics such as structured approach
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are looking for candidates who have: Strong programming skills, particularly in Python Solid analytical and mathematical abilities Experience with machine learning Strong communication skills and proficiency in
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for candidates who have: Strong programming skills, particularly in Python Solid analytical and mathematical abilities Experience with machine learning Strong communication skills and proficiency in English The
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in fluid dynamics, turbulence modeling, CFD, and turbomachinery. Experience with CAD and CFD tools (e.g., Ansys Fluent, CFX, StarCCM+, OpenFOAM). Programming skills (e.g., Python, MATLAB). Knowledge
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or Python) - In-depth understanding of computer systems (assembly code, compilers) Important personal qualities are the ability to work in a team, communicate with colleagues, be curious and creative. About
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-level data on single cell level, R/Bioconductor and Python/Tensorflow will be useful but is not a requirement. An experimental researcher with an interest in methodologically driven cancer research
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on: Technical Expertise: Documented skills in Python, Matlab, R, and a strong working knowledge of UNIX environments. Proven familiarity with biological omics data analysis techniques is essential, along with any