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/Planning Internal Number: 6792660 Adjunct Faculty - Architecture About the Opportunity The Lecturer will teach introductory courses in architectural drawing, sketching, studio design, computer modeling
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://radningarkerfi.orri.is/?s=44538 Requirements Skills/Qualifications Master's degree in biochemistry, chemistry, molecular biology, or related fields Excellent computer or data analysis skills Experience with data analysis
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demanufacturing and advanced AI. Building on our infrastructure for product identification, computer vision, and lifecycle assessment, we will launch the REINFUSE project in 2026, a four-year Flanders Make SBO
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area), interested in biomanufacturing in biofoundries, and have technical skills in computer programming and basic knowledge of mathematical models for systems and/or synthetic biology. A secondment at the Technical
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Engineering » Computer engineering Physics » Computational physics Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country Norway Application Deadline 3 Feb 2026 - 23:59 (Europe/Oslo
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quality of publications. Prior experience collecting in-person data from human participants. Basic proficiency in computer programming. Experience with functional MRI data collection and processing
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) scientific studies Experience with relevant field data collection methods (e.g. chamber- or eddy covariance-based C flux measurements, biodiversity sampling methods) Computer programming skills (e.g. Matlab, R
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The Electrical and Computer Engineering (ECE) Department at the University of Alaska Fairbanks (UAF) invites applications for a tenure-track faculty at the assistant or associate level with
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Applications (DSA). IAD coordinates interdisciplinary research including applications of data, computer, and computational sciences across various domains. The primary responsibility of the advertised positions
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. Stefanos Zafeiriou can be found at https://wp.doc.ic.ac.uk/szafeiri/ . Research Associate: A PhD (or be close to completion) in an area pertinent to the subject area, i.e. computer vision, machine learning