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- INESC TEC
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- FARM-ID - Associação da Faculdade de Farmácia para a Investigação e Desenvolvimento
- Faculdade de Ciências Médicas|NOVA Medical School da Universidade NOVA de Lisboa.
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with instrumentation; Experience in applied optics; Proficiency in Python. Funding Entity: project LIBScan, with reference 17490 (COMPETE2030-FEDER-01205900) Co-funded by ERDF - European Regional
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meteorological and air quality modelling in urban areas, including knowledge of programming languages (Fortran, Python), demonstrated through participation in studies or projects (at least 10) and the publication
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. Knowledge of machine learning/deep learning (e.g., classification, feature learning, neural networks). Experience in scientific programming (e.g., Python and/or MATLAB) and code management tools. Good
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field. priority will be given to candidates with: skills in programming languages and/or tools, such as python, c++, and/or matlab; basic knowledge of artificial intelligence techniques; knowledge
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FARM-ID - Associação da Faculdade de Farmácia para a Investigação e Desenvolvimento | Portugal | 3 months ago
for chemical or related applications; Proficiency in Python programming (TensorFlow, PyTorch, Scikit-learn). ¹ Degrees awarded by foreign institutions must be officially recognized by a Portuguese institution in
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applied to data science (e.g., R, Python, Bash, and SQL, among others) for processing, statistical analysis, and workflow automation. Practical experience in the processing, analysis, and visualization
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++, Python, and MATLAB programming, digital signal processing, hardware acceleration techniques, as well as Radio-Frequency measurements and lab equipment. The applicants, nationals of countries outside
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PLACE FCUP-INESC TEC WORK AREA: Physical or Electrical Engineering The present work is part of the ATE_SOUND3D_OS project and aims to provide support and develop Python software for a customized submarine
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; Knowledge of programming languages such as C#, C++, or Python; Experience with programmable logic controllers (PLCs) and communication protocols; Experience with Autodesk Inventor or similar CAD tools
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of machine learning/deep learning (e.g., classification, feature learning, neural networks). Experience in scientific programming (e.g., Python and/or MATLAB) and code management tools. Good knowledge