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· A PhD in an engineering discipline is mandatory. Experience and skills · Proven programming expertise in Python is necessary; knowledge of other programming languages are additional assets
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microfluidics, kinetic data analysis, Python scripting, protein purification, and cell culture are beneficial The candidate should have an interdisciplinary aptitude, strong organisational and interpersonal
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Analysis (ICA), Variational Autoencoders (VAEs), and matrix factorization techniques); · Experience with programming in Python and machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn
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machine learning, deep learning, or computer vision Experience with Python and common AI frameworks (PyTorch, TensorFlow) Interest in hallucination detection, robustness, trustworthiness, and (optionally
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of computer science, artificial intelligence, and biomedical research. Your profile Master's degree in computer science or related discipline Experience with Python and recent deep learning frameworks (e.g. Pytorch
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, particularly in MATLAB or Python, would be beneficial. Your profile The candidate should possess (or be in the process of completing) an MSc degree or equivalent in Electrical/Electronic Engineering, Computer
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proof-of-concept software tools Machine learning is a plus Strong analytical and programming skills are required (Python, Matlab, and C/C++). Prior proven experience in data-driven innovation projects is
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OpenAirInterface5G software stack. Programming Skills: MATLAB or Python, C/C++. Language Skills: Fluent written and verbal communication skills in English are required. French, German, or Luxembourgish is a plus. We
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or willingness to learn the radar and/or positioning technologies. Strong programming skills in MATLAB. Python / TensorFlow or C/C++ are a plus but not mandatory Highly committed, excellent team-worker, and strong
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numerical optimization and simulation models. Proficiency in one of the major programming languages such as Python A collaborative team player with a desire to make a personal impact within our