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analysis. Hands-on experience in building/assembling lab/pilot-scale equipment. Knowledge of modelling and programing skills in Python C/C++, MATLAB and/or LabView. Basic knowledge in electronics. 3D CAD
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Python or C++ Experience in machine learning frameworks (for example PyTorch) Skills in computer vision or machine learning relevant for the project Consideration will also be given to good collaborative
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of or experience with programming languages and modelling tools such as Python, Fortran, ANSYS, StarCCM+, and OpenFOAM Collaboration and Communication Interest in collaboration with the wider community and the
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strong publication record in relevant fields Proficiency in programming (e.g., R, Python, Bash) Effective communication in English is required for daily work. After the qualification requirements, great
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initiative and multitasking ability. Bring experience in interdisciplinary research fields. Show a solid research background in cancer biology. Be proficient in Bash, R, and/or Python. Communicate effectively
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skills in Python or C++ Experience in machine learning frameworks (for example PyTorch) Skills in computer vision or machine learning relevant for the project Consideration will also be given to good
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of modelling and programming skills in e.g. Python C/C++, MATLAB and/or LabView. Basic knowledge in electronics. 3D CAD (such as Autodesk Fusion 360, OpenSCAD or similar). Experience in project management
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an asset): Documented advanced skills in R programming. Documented skills in Python programming. Other information This is a permanent full-time position with a six-month probationary period. The desired
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on documented qualifications regarding programming, machine learning, AI tools for image analysis. Knowledge of Python, Matlab, C/C++ or similar programming language is an advantage. Consolidated experience with
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Demonstrated ability to write scientific code using programming languages such as python and/or C++. Assessment criteria Selection for third cycle studies is based on the student’s potential to profit from such