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Field
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Excellent critical programming skills in Python Strong command of English (spoken and written) Familiarity with ethical and responsible AI considerations Interest in translating models into applied
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implementation of data pipelines. Programming in computational neuroscience: Python, MatLab. Specific Requirements Knowledge: Processing of neural signals. Network science. Statistical learning. Algorithm design
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» Civil engineeringEducation LevelPhD or equivalent Skills/Qualifications Technical Skills: Programming: FEA, Python and MatLab. Other requirements to consider: Teamwork. Adaptability. Communication skills
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or Python (data management, statistical modelling, visualisation, and reproducible workflows). Excellent English (written and spoken); Spanish and/or Catalan are an asset, and additional European languages
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Proficiency: Skills in programming languages suitable for numerical simulations and statistical analysis (specifically R or Python). · Analytical Skills: Proven ability to handle complex mathematical
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relevant areas. Has strong ML/AI programming skills (Python: PyTorch, numpy, pandas) and R. Fluent in using UNIX. Publications in related journals is a plus. Baylor College of Medicine is an Equal
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codes is essential. Experience with modelling conjugated organic molecular-based systems (e.g. electronic structure, charge transport) would be particularly highly valued. Experience in coding with Python
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imaging data, preferably using Python, and hands-on experience building bespoke laboratory setups for imaging experiments investigating alloy composition or relevant applications. You will have a strong
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of Python and basic experience with traffic simulation tools (e.g., SUMO, VISSIM). Research FieldTechnology » Transport technologyYears of Research Experience4 - 10 Additional Information Benefits As provided
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learning, medical image computing, biomedical engineering, medical physics, or related field Strong Python and PyTorch experience Solid publication record and ability to communicate research results