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PhD or postdoctoral researcher positions (all genders welcome) Stellen-ID: 2848 Facility: Institute of Computer Science Contact person: Prof. Dr. Alexander Ecker eckerlab@ uni-goettingen.de 0551
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. The successful candidates will join the Computer Vision, Machine Intelligence and Imaging (CVI2 ) headed by Prof. Djamila Aouada. He/she will carry out research in computer vision and machine learning, with
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. Provide supervision to BSc or MSc students and engage in the mentoring of early-stage PhD students, and/or. Establish research networks nationally and internationally, and/or Develop research proposals in
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leading workshop and laboratory facilities, where research and innovation are carried out in direct collaboration with industry to a great extent. The position is offered in relation to the research program
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for Visualizing Catalytic Processes (VISION) at DTU Physics www.vision.dtu.dk and work closely with VISION’s faculty members, PhD students, postdocs and international leading collaborators all working
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Vesteghem, [email protected] , tel.+45 6166 7681. Qualifications You should hold a PhD degree in computer science, statistics, physics, mathematics, engineering, or a field of science relating to data
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be about to obtain) in areas relevant to this post (e.g. computer science, engineering, statistics, and mathematics etc.) Any applicants who are still awaiting their PhD to be awarded should be aware
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 21 hours ago
important reason why Carolina is one of the leading public research institutions in the country. UNC-Chapel Hill offers postdocs comprehensive medical and vision coverage , paid leave, and benefits and
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, computational neuroscience, and signal processing for hearing and vision aids. The goal of this research is to design and implement a low latency real-time XR based system for sensory support by applying models
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success. Basic Qualifications: A PhD in physics, chemistry, materials science, computational sciences, biology, applied physics, engineering, or a related field completed within the last 5 years Preferred