323 phd-rehabilitation-engineering-computer-science Postdoctoral positions at Nature Careers
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microscopy, particularly confocal scanning laser microscopy (CSLM). This is a five year research programme and is based in the UCD School of Chemical and Bioprocess Engineering. The appointed post-doc will
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plus. Candidates with expertise in either modality are also encouraged to apply. Ideally, applicants for the position should satisfy the following requirements: PhD degree in hearing science, audiology
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The Department of Psychology, Faculty of Health Sciences, University of Southern Denmark (SDU) invites applications for a postdoctoral position in audio-visual perception. The position is available
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various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly
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meets the following criteria: Recently earned a Ph.D. in bioinformatics, computational biology, computer science, electrical and computer engineering, or a related discipline Strong experience in
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., conferences, workshops, white papers). Is Your profile described below? Are you our future colleague? Apply now! Required Qualifications PhD degree in System Engineering, Software Engineering, Model-Driven
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Postdoctoral Research Associate - Basic and Translational Research Training in Pediatric Classical H
the program represent seven basic science and clinical departments across the institution. These faculty are leaders in their respective fields with expertise in basic and translational research in pediatric
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various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly
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! Education: PhD degree on Computer Science and Engineering, Telecommunication Engineering, Applied Mathematics or Statistics with application or specialization in Data Science. Required experience and skills
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Lonza’s expertise and technology within peptide T cell immunogenicity, and the vast expertise within immunoinformatics and machine learning models at DTU to address this challenge. This will enable