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. Panagiotis Papadakis and Associate Prof. Mihai Andries Keywords: Deep learning, event cameras, human skeleton, pose estimation, action recognition Where to apply Website https://imtatlantique.fillout.com
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imaging, virtual imaging trials, or related quantitative imaging sciences. Preferred Qualifications Five or more years of combined graduate and/or postdoctoral research experience in AI/deep learning
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of Chemistry and Biochemistry, University of Delaware, Newark, Delaware INTRODUCTION/POSITION: The Department of Chemistry and Biochemistry (https://www.chem.udel.edu/ ), in the College of Arts and Sciences
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representation learning. You have strong programming skills, especially in Python, and preferably experience with PyTorch. You have a track record of publishing in top image processing / computer vision journals
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mathematics, computational biology or a related quantitative field Strong background in deep learning for image analysis / computer vision, ideally on microscopy time-lapse data Proven programming expertise in
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), Department of Chemistry and Biochemistry, University of Delaware, Newark, Delaware INTRODUCTION/POSITION: The Department of Chemistry and Biochemistry (https://www.chem.udel.edu/ ), in the College of Arts and
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artificial intelligence, machine learning, deep learning, natural language processing, and generative AI, as well as emerging areas such as agentic AI systems, low-code/no-code AI platforms, and responsible AI
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experience in scientific computing and software development; familiarity with C++ and Linux environments is an advantage Strong background in deep learning for image analysis / computer vision, ideally
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Veterinary Medicine ● Variant discovery and genome annotation: Apply deep learning and graph-based models to improve variant calling, transcriptome annotation, and functional prediction in veterinary-relevant
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in Lithuania ranked as the nation’s leading institution in research and high education. Today VU integrates deep academic traditions, wide scale of research together with a forward-looking vision via