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of Coimbra. Reference/ Project: 15479 - Operation Code: COMPETE2030-FEDER-00641100 Project/Title: COMPATi - A randomised clinical trial of the effectiveness of the PSYCHOPATHY.COMP programme in male prisoners
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: 2.1. The competition and hiring process are governed by the provisions of Regulation no. 487/2020 - Regulations for Research, Science and Technology Staff at the University of Porto, published in
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requirements of the role. Please note referees may be contacted at any point in the assessment process. If you upload any additional documents which have not been requested, we will not be able to consider
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High Performance Computing facility, where the current code is implemented. The candidate will, among other activities, extend the model to treat different management interventions, peat growth and decay
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-for-post-von-… Requirements Specific Requirements The successful candidate should: - MSc degree in the field of computer engineering, computer science, electrical engineering or similar with an affection
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» Biological engineering Researcher Profile First Stage Researcher (R1) Country France Application Deadline 15 Oct 2025 - 23:59 (UTC) Type of Contract Temporary Job Status Full-time Hours Per Week 35 Offer
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CIIMAR - Interdisciplinary Center of Marine and Environmental Research - Uporto | Portugal | 4 days ago
of undergraduate, master, and PhD students, (iii) participation in R&D project, preferably as PI, within an aquaculture research context, services, and technology transfer processes; (iv) participation in science
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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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Your profile: • University degree (MSc or PhD) in any of physics, engineering, medicine or biology. • Experience in optics and signal processing that allows a quick adaption to the technological needs
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in BIM methodology, scan-to-BIM, automatic detection of structural anomalies in civil engineering assets, classification of point clouds, all supported by artificial intelligence or advanced data