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areas of nanoscience and nanotechnology. Job Title: PhD STUDENT (INTRANASAL TREATMENT AND IMAGING OF NEUROLOGICAL DISORDERS USING NANOPARTICLES) Research area or group: Nanostructured Functional Materials
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imaging. Your Profile: The successful applicant must have the following: • Master’s degree in physics, biophysics, biomedical engineering, computer engineering or electrical engineering. • Excellent track
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leader: Marcin Kuźniak Project title: Astrocent: Particle Astrophysics Technology Centre (supported by the Foundation for Polish Science International Research Agendas Programme, financed from the European
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science and information science techniques. Several areas of computer science and mathematics play important roles: data management and engineering, machine learning and data analytics, signal and image
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/biomedical engineering or of relevant scientific field A solid background in machine learning Extensive experience with either computer vision or image analysis Good knowledge of deep learning packages
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Luleå University of Technology experiences rapid growth with world-leading expertise within several research areas. Our scientific and artistic research and education are conducted in close
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the following skills and qualifications (tailored to the specific project): Driven individuals who want to be a part of a world class team Some familiarity in healthcare or engineering/image based analysis
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of Computer Science and Engineering, you will join a strong research community with expertise in deep learning, imaging, and scientific computing, alongside access to extensive training and academic networks. At RAL
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) Research Group and the Department of Mechanical, Materials and Manufacturing Engineering (M3) and within the Faculty of Engineering at the University of Nottingham. The PEMC is a global leader in power
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-medical-imaging… Requirements Specific Requirements We are looking for a motivated candidate with: - A Master’s degree in Medical Physics, Biomedical Engineering, Physics, AI, or a related field. - Strong