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lie at the crossroads of multiple disciplines and involve expertise in optics, electronics, image and data processing (including machine learning), photophysics, chemistry and biology. The position is
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continuum within the 2nd phase of CLICCS (https://www.cliccs.uni-hamburg.de/about-cliccs/cliccs-ll.html). In CLICCS-M4, we are further developing the unique ICON-Coast model within the ICON Earth System
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secondary or adjunct appointment in a medical department. General areas of interest include Biomedical Imaging Hardware Development as well as Biomedical Signal and Image Processing of all Biomedical imaging
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Processing and Image Analysis Group, Section for Machine Learning, Department of Informatics. You will be part of Visual Intelligence and the DSB group. For more information about the position see https
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passionate Postdoc (exceptional PhD candidates may also apply) to join our team and develop the next generation of intraoperative neurosurgical image guidance. Currently, neurosurgeons lack real-time
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Recruiting-Portal, by submitting the following requested documents: A) a cover letter, B) a complete curriculum vitae C) the PhD application form, see https://www.zampierilab.org/join-us/ Where to apply
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and articulates the role of the college in an R1 institution and a vibrant student-life community. Minimum Qualifications All Ranks:· A terminal degree (MFA, PhD or EdD) from an accredited institution
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given to candidates with PhD or who are ABD Application Procedures & Deadline Information Please create your candidate profile at https://jobs.illinois.edu . Applications must be received by 6:00pm (CST
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Postdoctoral position in the development of an AI-based phenotyping system for high-throughput sc...
work. Qualifications PhD in computer science, computational biology, engineering, or related fields. Experience developing deep-learning tools for image processing, automatic monitoring of agricultural
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: https://kaunasin.lt/en/live-in-kaunas/ Application Process Applications must be submitted electronically by e-mail. Deadline: 30 January 2026, 16:00 CET E-mail: talent.pool@lsmu.lt Subject line: My First