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of at least 2.1 for all sections). For more details please check the Graduate Schools Admission Requirements. Nice-to-haves Experience working with adsorption materials. R and Python skills. If your native
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preferably in Rust or Python; practical experience with Python-based machine learning frameworks (e.g. PyTorch) is preferred. A motivated, creative, and self-driven working style with the ability
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strong affinity for language data; solid programming skills (e.g., Python) and experience with machine learning or NLP, ideally including transformer-based models and word embeddings; excellent English
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in neuroimaging methods. You have experience with computational modelling and/or quantitative data analysis, preferably using tools such as Python, R, MATLAB or similar software. You have an affinity
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and scientific programming in R and/or Python. If your native language is not English and you do not hold a degree from an institution in which English is the language of instruction, you must submit
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, preferably in Python, MATLAB, R, or comparable tools. Strong communication skills and proficiency in spoken and written English. The ability to work both independently and collaboratively in
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physics/mechanics. Experience with and enthusiasm for numerical simulation tools including programming in fortran/python. A research-oriented mindset: critical thinking is your second nature. A team player
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skills; experience with C, C++, Python or other programming languages relevant to geodata analysis. Good communication skills and proficiency in written and spoken English. A good team spirit. Some limited
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want to develop your academic profile in mathematical statistics. You are proficient in English. Good scientific programming skills, e.g. in R, Python, C++, Julia, etc. Additional Information Benefits As
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with Linux and scientific programming in R and/or Python. If your native language is not English and you do not hold a degree from an institution in which English is the language of instruction, you must