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transfection work Experience with microscopy Experience with RNA-seq Experience with image and RNA-seq analysis, including competence using R or python and computational clusters Molecular biology techniques
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Analysis in One Variable, MATA32 Algebra and Vector Geometry and NUMA01 Computational Programming with Python. In all roles, you will be supported by the teacher responsible for the course who can answer
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leave of absence. The research tasks require a strong mathematical background with proven experimental capabilities and excellent programming skills (e.g. C++, ROS, Matlab, Python etc.). You should have a strong
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modeling Good knowledge, skills and interest in computerized data analysis and model development. Documented skills in programming in e.g. Matlab, Python or similar. Skills in using appropriate programs
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analysis or machine learning methods (iii) Programming knowledge in Python (iv) Very good oral and written communication skills in English (v) Strong skills in cooperation and communication Additional
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should be attached): Previous projects or course work related to machine learning implementations Previous projects or course work involving mathematical proving Solid knowledge of Python What you will do
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accepted. Strong written and verbal communication skills in English Solid knowledge of Python and libraries like PyTorch and RDKit The following experience will strengthen your application: Knowledge in deep
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accepted. Strong written and verbal communication skills in English Solid knowledge of Python and libraries like PyTorch, Monai, and/or RDKit The following experience will strengthen your application
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-based imaging techniques (TEM, fluorescence, histology etc.) Successful grant applications Experience in Python programming Having worked on diverse science projects, in international surroundings
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and analysis of wireless communication systems. This also includes experience of the software tools used, such as MATLAB or Python. Knowledge in electromagnetic wave propagation and wireless channel