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and practical experience in coding languages such as Python and/or R. Assessment criteria Selection for third-cycle studies is based on the student’s potential to profit from such studies
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experimental experience in immuno-oncology Practical experience of bioinformatics and programming (e.g. in Python and/or R) Practical experience of multiplex flow cytometry and cell sorting Practical experience
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scans. Experience with age-depth modelling (c14 dates, stratigraphic correlation). Experience with Python or similar programming language. Documented very good oral and written proficiency in English
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circumstances the doctoral degree can have been completed earlier. Other requirements: very good knowledge of English, in speech and writing; knowledge and experience in programming (Python, Matlab or similar
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skills with considerable experience with programming with python. Significant experience of developing deep learning methods using computational frameworks such as PyTorch, TensorFlow etc. Experience
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proficiency in English. Documented experience in CFD and numerical modeling, preferably with OpenFOAM, Nek5000, or LBM. Strong programming skills (C++, Python, or similar). Ability to work independently and
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, sustainability science, or a related field. Experience in data analysis using scripting languages such as Matlab, Python, and R. Experience working with earth observation data and visualisation of data in maps and
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analysis, for example with Python or Matlab. Consideration will also be given to how the applicant’s experience and skills complement and strengthen ongoing research within the department, and how they stand
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in natural sciences in a subject relevant to NanoMAX Demonstrated knowledge of experience with nanoprobe scanning and/or coherent techniques using X-rays Good Python programming skills, a working
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, the student must be judged to have the potential to complete the programme. Additional requirements Very good oral and written proficiency in English. Programming and data analysis skills (C++, Python