202 machine-learning "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" "U.S" uni jobs in Belgium
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background in AI-enabled signal processing and machine learning algorithms, have experience with embedded platforms (e.g., NPU, FPGA, ARM Cortex-M), be proficient in programming languages like C, C++ and
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‑on experience with common machine learning / deep learning frameworks (eg. PyTorch or JAX) applied to biological or structural data. Solid Python programming skills, with experience building maintainable and
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analog electronic accelerators. You’ll collaborate closely with a multidisciplinary team of machine learning experts, software developers, computer scientists, fabrication specialists, and experimentalists
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Biology Scientist in Single-cell omics & AI to support the valorization trajectory of a computational platform combining single‑cell omics, AI machine learning, and translational biology. The role involves
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to apply Website https://www.imec-int.com/en/work-at-imec/job-opportunities/rf-ic-designer-em-ba… Requirements Research FieldEngineering » Electronic engineeringEducation LevelMaster Degree or equivalent
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of Economics and Business and KU Leuven. You have an outspoken interest in fundamental scientific research and perceive opportunities for valorization of research findings and applied research. You teach courses
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multisensor fusion and ondevice AI pipelines that guarantee tight latency, power efficiency, and fail-safe robustness. Driving hardware–software codesign to radically optimize state estimation and deep-learning
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as well as to applied research. You teach courses in the field of actuarial sciences on the Leuven campus. When defining the teaching assignment, your profile and experience will be taken into account
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and metrics may also support the development and evaluation of computer vision models for automated performance assessment and feedback. Ultimately, this research will contribute to the creation
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, technical depth, and a strong track record of applied research in Computational Biology, Structural Biology, Protein Engineering, Machine Learning, or a closely related field. Strong understanding and