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hours and attendance; Compliance with the work plan, specifically the development of software for the AI module, including the implementation of algorithms, integration with the main application, and
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benefit from health insurance, supported by INESC TEC. 2. OBJECTIVES: ● Research and develop novel reliable deep learning computer vision algorithms for the detection and quantification of GIM lesions
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Transition Thematic Program (COMPETE2030) through the European Regional Development Fund (ERDF) and Portugal 2030, under the following conditions: Work Plan and Objectives to Reach: The work to be developed
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: OBJECTIVES | FUNCTIONS Develop algorithms for pre-processing of spectra, by analysing user-uploaded files to identify their origin, confirm spectra presence, and assess spectrum quality. Implement novel AI
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submission from 28-Nov to 16-Dec, 2025 WHO WE ARE INESC-ID (www.inesc-id.pt ) , “Instituto de Engenharia de Sistemas e Computadores: Investigação e Desenvolvimento em Lisboa” is a Research and Development and
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. They will join the MOHID model development group and their activities will involve implementing the model and developing one-dimensional algorithms for heat transfer in soil, including advection and heat
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Regulations of the University of Aveiro. 5. Work Plan: he work plan is integrated into the activities of the NEXUS Agenda, with an emphasis on the development of methods and algorithms with applications in
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Engineering, specialization in Autonomous Systems. Requirement 3: have proven academic experience in implementing hardware and algorithms in Python and ROS, and in developing ground robots controlled by
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process and the results obtained. 3. BRIEF PRESENTATION OF THE WORK PROGRAMME AND TRAINING: - To contribute to the specification and development of algorithms for optimizing energy systems with
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visualisation (libraries such as Three.js, OpenGL, VTK, or similar); - Advanced knowledge of optimisation algorithms; - Previous experience with software development for logistics problems; - In-depth experience