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The AITHYRA-CeMM Joint International PhD Call in Molecular Medicine and Artificial Intelligence (m/f
-20 fully funded PhD positions here: https://apply.cemm.at/ Supported by the Medical University of Vienna, the Technical University of Vienna and University of Vienna, the AITHYRA and CeMM PhD programs
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-of-the-art methods, datasets, and challenges Proven experience with: Video data processing for learning and inference Deep learning architectures for video analysis Python programming and PyTorch framework
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emphasizes academic excellence, experiential learning, and meaningful engagement with local industry partners. We are seeking an individual who brings a strong research profile, deep industry experience, and a
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this position: https://www.ucop.edu/academic-personnel-programs/_files/2025-26/policy-covered-october-2025-scales/t1.pdf . The current full-time base salary range for this position is $80,800-$212,000 (9-month
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: Design and implement ML, deep learning, and Large Language Models for orthopaedic applications Work with multimodal clinical data, including: Medical imaging (X-ray, CT, MRI) Electronic health records (HER
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at the BHUDRH, is to lead the design and delivery of innovative teaching and learning environments for health students undertaking their placement in our region. We also actively work to improve the quality
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. Areas of interest include—but are not limited to machine learning and deep learning architectures; trustworthy or explainable AI; generative AI and natural-language systems; computer vision and multimodal
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. Qualifications Applicants must hold a PhD degree in electrical/electronics engineering, telecommunications or related field. Other requirements include: Strong background in wireless communication systems and
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willing to learn from other people in the lab and collaborate. Candidates should have a master’s degree in Molecular biology, Biochemistry, or similar field and have deep interest in molecular biology and
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FieldMathematicsYears of Research ExperienceNone Additional Information Eligibility criteria The position requires a PhD in machine learning, NLP, causality, or a related discipline, with a strong command of deep