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Field
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the Faculty of Medicine, is seeking a full time (1.0 FTE) Postdoctoral Research Fellow to perform research within a collaborative translational research program focused on assessment of sarcopenia, cachexia and
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Science Convergence Environment that brings together active matter physics, cell biology, and computational biology to address the fundamental processes guiding the earliest stages of mammalian embryo
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Interior - RBIUBI (Regulation No. 100/2020) published in the Diário da República, 2nd series, n.º 27 February 2020. Work location: The work will be developed at the SEGAL, Department of Computer Sciences
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related to developing and applying contrast-enhanced ultrasound approaches, and image processing to study remodeling of the islet microvasculature and islet blood flow regulation in type1 diabetes and to
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: U.S. Citizen Only Degree: Doctoral Degree. Discipline(s): Computer, Information, and Data Sciences (17 ) Engineering (12 ) Environmental and Marine Sciences (6 ) Life Health and Medical Sciences
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of computer graphics, human-computer interaction, computer vision, and machine learning. Conducting comprehensive literature reviews in related areas, including deep generative models, image and video synthesis
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; e) Certified technical-professional training related to the areas listed above; f) Experience in delivering oral or poster communications at scientific conferences; g) Basic computer skills from a
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, biochemistry, omics data analysis, or a related field • Hands-on experience with mouse models and cell culture • Solid molecular biology and computer programming skills • Excellent communication skills in
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applicant will have a PhD in vision science, computer science, or a related field. Experience in cloud-based and mobile image processing for rapid object and face recognition and in use of head-mounted eye
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medical applications. The appointment begins February 2026. Responsibilities Design and implement wet-spinning processes to produce multicomponent fibers Conduct mechanical, thermal, biological, and image