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Field
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tasks (Python/MATLAB) Apply computational models of behavior and cognition Analyze high-dimensional datasets (behavioral, physiological, neuroimaging) Publish in leading international journals and present
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porous media. Proficiency in scientific programming (Python, C++, or Fortran) is essential. Demonstrated strong analytical and problem-solving skills, with familiarity in numerical methods and an interest
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‑on experience with Python or other scientific programming tools. Candidates must have a strong analytical mindset and willingness to work across experimental and computational domains, be proficient in oral and
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quantitative and analytical skills. Experience with programming and data analysis (preferably in R; experience with Python, Julia, Matlab, or similar is also valuable). Experience in using AI to operate said
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pipeline in Python (using e.g. PyTorch) validation of your results in collaboration with colleagues from various application areas (cross-disciplinary) publication and presentation of your scientific results
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- Knowledge in programming in Python or R - Familiarity with machine learning or deep learning methods is a plus - Interest in plant genomics, evolutionary biology, or comparative genomics - Proficient in
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/Electromagnetics theory, design and simulations Machinelearning mathematics and algorithms Numerical methods Programming skills (Python, MATLAB, or similar) Strong analytical and problem-solving skills. Good written
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data analysis (genomic and transcriptomic) (UNIX, LINUX, R, Python or similar). Experience with microscopy and/or histological techniques is an advantage. Excellent English skills (written and spoken
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, monitoring, data acquisition and processing in MATLAB and cross-platform Python (Windows and Linux) and experience in integration of systems for synchronised acquisition and aggregation of data sources
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optical modulators. FPGA support to the team. Sofware support to the team (Python, C++) Where to apply Website https://sede.uvigo.gal/public/catalog-detail/27660208 Requirements Research FieldEngineering