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Field
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robotics, localization, mapping, and multi-modal sensor fusion; (b) proficiency in programming languages such as Python and C++; (c) demonstrated ability to conduct independent research and contribute
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for modeling unprecedented electromagnetic phenomena, using languages such as C++ and Python. Formulate new theories pertaining to EUV generation, obtained ab initio from Maxwell’s equations and quantum
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and track record in R&D and standardization. Prior experience in state-of-the-art AI techniques. Mastering of a programming language would be valued (e.g. Python, C, Matlab, …) Self-driven, highly
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machine learning models with respect to accuracy and uncertainty quantification. - Developing software to implement the goals stated above (most likely in Python). - Disseminating results
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language, with a strong preference for Python. Desirable criteria: Additional experience in machine learning, statistical learning theory or related fields Fluency in relevant models, techniques or methods
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) An interest in AI/ML and multi-omics integration. Solid background in statistical genetics and computational biology; experience with R, Python, or equivalent programming languages is essential. Passion
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computing with Python and R; (d) experience in high-performance and cloud computing for data processing; (e) the ability to work independently and collaboratively with an interdisciplinary research team
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) Proficiency in R and/or Python programming for data analysis Strong written and verbal communication skills, including scientific writing Demonstrated previous experience and competency in the management
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successful for this position, you'll have: Demonstrated experience in the application of LLM. Demonstrated experience in programming in Python. Ability to learn new technology and new tools rapidly. Good
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, astrophysics, or a closely related field. Knowledge of Unix/Linux-based operating systems and the Python and/or C++ programming languages is required. Experience with particle/astroparticle physics detectors