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; lithium-ion or other rechargeable battery systems; porous-electrode theory; electrochemical transport phenomena; numerical modelling and simulation; multiphysics modelling; Python or c++ and scientific
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or scripting for data engineering, for example using Python or PySpark. Software engineering practices such as Git, CI/CD and automated testing. API-based and other application integration patterns
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. You have excellent computer science skills (python, git, linux, ROS, etc.) . You have hands-on experience with machine learning frameworks such as PyTorch. You have strong analytical skills to interpret
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to engage with patients and real-world healthcare challenges.• Strong programming skills in Python; experience with deep learning frameworks such as PyTorch or TensorFlow is highly desirable.• Proven research
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excellent study results. You have strong programming skills in C and at least one high-level language (e.g. Python). You have a solid understanding of wireless network stacks and/or experience with embedded
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engineering, for example using Python or PySpark. Software engineering practices such as Git, CI/CD and automated testing. API-based and other application integration patterns. Semantic modelling and business
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, fluid mechanics, simulation, and programming (Fortran, C/C++, Python, …). Proficiency in English is a requirement. The position adheres to the European policy of balanced ethnicity, age and gender
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(including Python, MATLAB or/and R) •Experience with neuroimaging (e.g MRI and EEG) and signal processing (e.g. wearable sensors) is valuable, but is not a prerequisite.•Strong analytical and problem-solving
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experience in Python and, more specifically, in common deep learning frameworks such as PyTorch and jax, for model training and inference have experience with embedded platforms such as FPGAs or RISC-V
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. You have strong programming skills in C/C++, Python, and/or Matlab. Knowledge of energy-efficient communication systems, network energy modeling, or renewable energy integration is a strong asset