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Field
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, Applied Mathematics, or a related field. Strong expertise in: Computer vision and image processing Deep learning (e.g., PyTorch, TensorFlow) Data-driven modeling and analysis Proficiency in Python and
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should have a strong background in quantitative medical imaging and: 1) image processing of the cardiopulmonary system or 2) a strong epidemiological background allowing them to utilize the output of
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intelligence, image understanding, or related areas Proficiency in Python programming; solid understanding of computer science fundamentals Experience with version control (GitHub) and AI coding assistants (e.g
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across BlueMat in solving image analysis challenges, especially segmentation and quantitative extraction Your profile PhD in computer science, physics, materials science, applied mathematics or a
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Engineering, Computer Science or a related discipline. 2. Expertise in hydrogels, elastomers, or other soft polymeric systems and metamaterials development. including polymer synthesis and 3D printing
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, Computer Science, Electrical Engineering, or a related discipline. 2. Solid background in medical ultrasound imaging, signal processing, or machine learning. 3. Proficiency in programming languages and
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have recently completed (or be close to completing) a PhD in Computer Science, Machine Learning, Natural Language Processing (NLP), or a related field, with a thesis focused on AI, specifically LLMs. The
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Skills: Experience in image or signal processing, medical data processing, artificial intelligence and/or computer vision. Basic system administration skills. Strong analytical and problem-solving skills
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-based modelling -individual support for researchers across BlueMat in solving image analysis challenges, especially segmentation and quantitative extraction Your profile -PhD in computer science
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fields include (but are not limited to) Computer Science, statistics, mathematics, automation, informatics, and Engineering. Experience in deep learning, machine learning and medical imaging processing