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influenced by environmental experience. We are still far from a complete understanding of how these processes work. About the role We are seeking a motivated research assistant to join our team working
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, modelling and simulation of photonic systems, sensor systems, signal processing and device manufacturing, development of machine learning algorithms, and design of optical communication networks or power
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process, it is our aim to develop candidate pools that include applicants from all backgrounds and communities. We ask all candidates to submit a copy of their CV, and a supporting statement, detailing how
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information of what criteria will be assessed at each stage of the recruitment process. Further information: We ask all candidates to submit a copy of their CV, and a supporting statement, detailing how
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experiment has been active since 2015, including both below and above canopy nitrogen misting. Key objectives: The project aims at providing a holistic assessment on whether and how simulated increase in
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of the provisional lists of the results in the different phases of the selection process (Admission and Exclusion, Curricular Evaluation and Interview), the candidates have 10 working days to to pronounce
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the development and implementation of machine learning (ML), computer vision (CV), large language models (LLMs), and vision-language models (VLM) to automate data extraction and interpretation for productivity
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/Administrative Internal Number: 527353 Pay Grade/Pay Range: Minimum: $62,300 - Midpoint: $81,000 (Salaried E10) Department/Organization: 214251 - Electrical and Computer Eng Normal Work Schedule: Monday - Friday
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and metal oxide nanoparticles, development of functional inks, coating processes for textile substrates and pattern printing, devices fabrication, and advanced characterization of materials and systems
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, Animal Sciences, at the Centre for Functional Ecology of Department of Life Sciences of Faculty of Sciences and Technology of University of Coimbra. Reference/ Project: 15579 - Operation Code: COMPETE2030