21 digital-image-processing-phd-scholarship Postdoctoral positions at University of Southern Denmark in Denmark
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: 1) Drones for Infrastructure Inspections and Interactions 2) Real-time processing, and 3) optimized power electronics. The section currently has 15 academics, including professors, PhD students, and
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hands-on experience in tissue handling, histology, microscopy, and spatial transcriptomics. Experience with the computational analysis of NGS- or imaging-based spatial transcriptomics and single-cell
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candidate will contribute to the SECUREAM research project, focusing on enhancing cyber resilience solutions for digital Additive Manufacturing (AM) processes and workflows in close collaboration with leading
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developed algorithms with the designed hardware in the best way. Document design specifications, and design trade-offs clearly. Qualifications Applicants should hold a PhD in electronics, computer engineering
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of PhD diploma, if Phd diploma has not yet been received, please include statement from your supervisor Shortlisting may be used in the assessment process. Incomplete applications and applications received
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of molecular and biochemical techniques, primary culture, as well as imaging. In addition to research, the duties of the postdoctoral fellow will also include administrative and teaching tasks
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tests may be part of the selection process. Conditions of employment Employment as a postdoc requires scientific qualifications at PhD level. Employment as a postdoc is temporary and the starting date is
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have obtained a PhD degree in a relevant field and have a PhD-age of max 4 years per October 1st , 2024 (parental leave deducted). The postdoc candidate will be affiliated with the Philosophy Section
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Engage in teaching as required Required Qualifications PhD in Bioinformatics, Computer Science, Physics, Engineering, Bio-engineering, or equivalent Excellent track record in Bioinformatics with at least
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). The successful candidate will contribute to the Nudge2Green research project, applying software development and AI methods to design digital nudging tools that promote sustainable consumer behavior in food choices