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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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data fusion, signal decomposition/unmixing, incremental/few-shot learning, and conformal prediction. Academic or professional proficiency in Python and its core scientific/ML frameworks: TensorFlow, JAX
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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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, 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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of the following paradigms would be considered a plus: C++, C#, Qt, Python, REST, TensorFlow, Docker, user interface design. Previous experience in GIS systems would be a plus. Hardware
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management standards, computer science, information engineering, or a related field is an asset. Experience with Python (pandas, numpy, Jupyter), SQL, or similar data handling tools is desirable. Diversity