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to their project goals and requirements. Provide expertise to assist students in the translation of computer model into a printed part, ensuring appropriate slicing, infill percentages, and build orientations
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paint from surfaces by using sanders, wire brushes and paint and varnish removers. · Paint walls, and trim with latex and oil-based paints using best practices and methods. · Apply primers, sealers
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Intelligence and machine-learning approaches and emerging digital technologies such as non-contact sensors, smartphones, and computer tablets. This theme could also include research in data analytics and
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“Dynamic Virtual Fences – DFence”, developed in co-promotion by the Polytechnic Institute of Viana do Castelo – Higher School of Agriculture (IPVC-ESA), INESCTEC – Institute of Systems and Computer
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strong background in computer science, including formal methods and mathematics, as well as an interest in AI and safety-critical systems. Good programming skills are required. Supervision: Prof. Elena
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professor of quantitative methods in the 2026-2027 academic year. Applicants must have the ability to teach a variety of quantitative methods courses such as business statistics and data analytics. Evidence
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equipment and supplies, as well as computer-based analysis tools, to complete lab procedures. Collect and organize data based on laboratory results. Provide suggestions for improving lab procedure
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Plan through all phases from planning, design and construction. Responsibilities include implementing best practices for construction project delivery including scope, schedule, estimating and budget
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develop training schedules. Conduct and present trainings by analyzing and defining training objectives, researching subject matter, writing objectives, selecting presentation methods and preparing
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postdoctoral researcher to join our dynamic animal science and artificial intelligence team. The candidate will develop novel algorithms that advance the use of computer vision in precision livestock farming