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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 1 hour ago
, available on https://dre.pt/application/file/a/127230968 . Workplace: The work will be developed at Center for Structural Chemistry (CQE) of IST-ID, under the scientific supervision of Prof. Zita Martins and
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-nitrophenyl phosphate). Biophysical determination of the affinity and binding mode of potential inhibitors using TSA and MST techniques. Structural characterization of PtpA-inhibitor interactions – Optimization
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parameters. Tasks: • Develop a GUI that allows interaction with the application outside of Unity • Develop an LLM-based system to assist in automating the PCG process • Develop connections between different
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of exercise physiology, fatigue, and ergonomics; c) Basic instrumentation and use of physiological monitoring sensors; d) Ability to interact with participants in experimental or occupational settings. WORK
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different percentages of biocement. Contest Procedure Applications must be exclusively submitted on the admissions platform of the Instituto Superior Técnico at https://fenix.tecnico.ulisboa.pt/fenixedu
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(fire resistance tests for load-bearing walls). Development and construction of a reaction frame for testing LSF walls with mechanical load. Testing and start-up of new hydraulic equipment for adaptation
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location. - Develop the core output, such as a high-fidelity 3D model, an interactive heritage application, or a user-experience dataset. - Test the developed solution or methodology within a "UTOPIA Lab
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and quality applicable in the design of interactive media. The main tasks to be performed, and which will be used in the evaluation, are as follows: T1: Conduct an interdisciplinary literature review
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FCT code 2023.17217.ICDT and DOI https://doi.org/10.54499/2023.17217.ICDT . , funded by COMPETE 2030 by Portugal 2030, and by the European Union, financial support from national funds/OE through
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appropriate to the target tasks. • Processing and structuring of sports data from diverse sources, including performance time series, game data, and statistical records. • Investigation of progressive modelling