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skills; Excellent programming skills (preferably Python and/or C++); Excellent proficiency in English (oral and written). Flexibility regarding working on-site with the diverse project partners. If you
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or equivalent High competence in machine learning and robotics Knowledge and experience in computer vision is an advantage Good mathematical and programming skills (Python and C/C++; ROS is an advantage) Good
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or equivalent High competence in machine learning and robotics Knowledge and experience in computer vision is an advantage Good mathematical and programming skills (Python and C/C++; ROS is an advantage) Good
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communication skills, enthusiasm and scientific curiosity. Strong programming skills in Python. Experience with analysing biological data. High level of motivation for academic research work. Good organisation
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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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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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charging technologies Experience in modelling and simulation using Python Knowledge of optimisation methods, energy systems, or smart charging concepts is advantageous Experience with data analysis and
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(Python or equivalent) is desirable but not required. How to apply Applications should be submitted via the Physics PhD programme page. In place of a research proposal, you should upload a document stating
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algorithm development using Python or equivalent programming languages is considered an asset. Given the highly international and collaborative nature of the research environment, strong presentation and