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, HVDC systems and inverter-based resources. Experience with PSCAD, EMTP, RTDS, OPAL-RT, PowerFactory or MATLAB/Simulink. Programming experience in Python, Julia, MATLAB, C/C++ or related languages
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Engineering, Applied Mathematics, or a related field. Candidates should have expertise in several of the following areas: Scientific software development (C++, Julia, Rust, Python, or similar) Numerical methods
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(python, Java) are important parts of this PhD track. The candidate starts from insights in the system and physics-based modelling. Data-driven approaches are not the focus of this project. The candidate is
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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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, 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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, and evaluation Experience with embedded hardware, such as AI accelerators (e.g., NVIDIA Jetson, Axelera, Qualcomm, Rockchip) or ARM-based platforms Solid programming skills, particularly in Python and C
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of digital media, AI, political communication and democracy; • Has a strong foundation in quantitative research methods and data analysis (e.g. SPSS, R, Python); • Is willing to further develop digital
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languages such as Python and C++ Numerical optimization. A four-year doctoral scholarship and, if successful, a PhD in Engineering Technology. A competitive salary and additional benefits such as health