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Field
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Python and/or MATLAB; familiarity with numerical optimization libraries and scientific computing. Strong written and oral communication skills; ability to work independently and in teams. Position Type
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(e.g., R, SAS, Python, or similar). Equipment Used: standard research equipment such as light emitting diodes, data logger, environmental sensors, LI-COR gas exchange system, fluorometer. Part time
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-level optimisation using TRNSYS and MATLAB/Python. The associate will use advanced characterisation (e.g., DVS, porosimeter, DSC/LFA) to develop and assess adsorption composites, and apply CFD to analyse
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operation to support design performance and flexibility. Utilize advanced simulation codes (e.g., Xsuite, MAD-X, Impact-X, TRACK, ELEGANT) and Python-based workflows to integrate and analyze results. Provide
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candidates with a proven track record in developing open-source machine learning, deep learning, or cheminformatics tools (Preferred written in Python). Job Duties Plans, directs and conducts research
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experience in AI; - Advanced programming skills (e.g., Python, Java, and C++); - Ability to work well in a team and fluency (written and oral) in English. About the scholarship: 24-month contract (renewable
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source level with Python and MNE-Python - Pipeline development in Python and MNE-Python - Articles preparation, presentations and workshopsmantenimento di codice open source. The position is hosted
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experiments, natural language processing, and network modeling. Experience mentoring students. Expertise in Python and TensorFlow. Proficiency in R, SQL for data analysis and visualization. Preferred
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skills (Python, TensorFlow, PyTorch, scikit-learn, etc.). Excellent stakeholder engagement and communication skills, with a record of working with SMEs or innovation-focused organisations. Desirable
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(NFQ Level 8) or Master’s (Level 9) in a relevant discipline plus 3–4 years applied professional experience in AI/ML development. Strong programming and applied AI/ML development skills (Python