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Engineering, Biomechanics, Computer Science, or related field Preferred Experience: Experience with machine learning in medical imaging/biomechanics; grant writing support; clinical gait analysis in clinical
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, Telecommunications, Artificial Intelligence or Computer Engineering; Mathematics; or a related field. Training or experience in data science, deep learning, and artificial intelligence. Knowledge of Python, PyTorch
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of tomorrow safer. Be part of change LLMs have gained significant attention recently due to their remarkable capabilities. A similar, yet less explored field focuses on text-to-image (T2I) model architectures
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motivated Preferred Qualifications: Experience with serial section EM Histology Viral and immuno labeling Stereotaxic surgery Image analysis software and systems (e.g. FIJI/ImageJ, EyeWire) Light microscopy
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Sorbonne Université SIS (Sciences, Ingénierie, Santé) | Paris 15, le de France | France | 14 days ago
11 Mar 2026 Job Information Organisation/Company Sorbonne Université SIS (Sciences, Ingénierie, Santé) Research Field Technology Researcher Profile Recognised Researcher (R2) Leading Researcher (R4
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in support of their goals. Learn more about us by visiting https://www.isc.upenn.edu/about or www.linkedin.com/company/penn-information-systems-computing/. The Senior Systems Administrator-Consultant
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“HORIA HULUBEI” National Institute for Research and Development in Physics and Nuclear Engineering | Romania | about 1 month ago
. - Computer operating/programming skills: Microsoft Office Suite, C++, Labview, Matlab, COMSOL, IDL, Python or other programs for data and image processing; A high level of intellectual curiosity, analytical
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of instrumentation scientists , applied mathematicians, and computational scientists, and building worldwide collaborations aimed at tackling the challenges posed by terabyte and petabyte-scale imaging data processing
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, including preparing and maintaining documentation for ACGME, RRC, ADS, CCC, PEC, and institutional requirements. Monitors compliance with program and institutional policies, accreditation standards, and
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applications. Key Responsibilities: Develop and fine-tune computer-vision models, instance segmentation, and retrieval-based estimation from images and text metadata. Build and evaluate monocular depth pipelines