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, Computational Physics, Bioinformatics, Artificial Intelligence or similar. Proven knowledge of scientific English (minimum level B2). Experience in scientific programming (Python, Julia, Matlab or similar
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. Recognised Researcher position has been opened. The ideal candidate holds a master's-level background in robotics, AI or related fields, with strong Python/C++ skills and experience in machine learning
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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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platforms. Experience in development of digital twins or physics-informed machine learning models. Experience in programming (e.g., Python or equivalent) and development of control or data acquisition
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assembly. - Excellent English proficiency Skills: - Strong competence in the use of bioinformatic tools such as plink or bcftools is a must. - Excellent command of R and Python scripting is required
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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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computing, control theory, computer vision, or numerical simulations. Experience with Python-based scientific programming Excellent problem-solving skills, Ability to work collaboratively in a