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Field
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associated with integrated workflows such as ETS and TCI. Develop coupled multi-physics workflows using IMAS and MUSCLE3. Integrate numerical simulation codes written in Python, C/C++ and Fortran. Design
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Post-harvest pathology Biomarkers, volatiles, and sensors Cold chains and refrigeration technology Data analysis and modelling (R, Python, CFD) Besides that, you have demonstrable experience in project
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to cloud infrastructure in Docker containers. Our technology stack is published in our Guidebook and comprises technologies like Google Cloud, Terraform, Docker, Python, Django, React, and TypeScript. We
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the lab. Basic Qualifications Master of Science in Computer Science or Engineering or related Engineering field. Professional or research experience in C++ and Python programming, controls, perception, and
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to data management and task automation at scale that directly influence and accelerate research in various domains. We are looking for skilled Python engineers with experience building scalable systems
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documentation-as-code. Ensure all analytical scripts (SQL, R, Python) are versioned, audited, and recoverable. Implement CI/CD principles for analytics to enable reliable, tested, automated deployment of data
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, including intracranial EEG (iEEG/SEEG), local field potentials (LFPs) and single-unit recordings. The position has a strong focus on scientific software development in Python, data engineering and signal
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programming skills in Python, with experience in C++, MATLAB, or similar languages desirable. Experience with a deep learning framework such as PyTorch, TensorFlow, or JAX (desirable). Experience with
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Office, Latex, Adobe Illustrator, AutoCAD • Previous experience on programming (Python, C, LabVIEW, etc) and scientific (Mathematica, Matlab, Origin, etc) or simulation (COMSOL, etc) software will be
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Requirements: Minimum Bachelor’s degree in computer science/ engineering or related fields. Proficiency in programming languages such as Java, Python, Go, C/C++ or other backend development languages is required