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An exciting opportunity has arisen for a talented computer scientist to join our team as a researcher within the Green Algorithms Initiative in the Department of Public Health and Primary Care, one
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FEDER funds (COMPETE 2030) and national funds by FCT/MECI, operation no. 16373, under reference COMPETE2030-FEDER- 00753700, in the area of biotechnology under a work contract for a non-fixed term, aiming
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diabetic cardiac and gastrointestinal remodeling in companion animals” funded by the FEDER (COMPETE 2030) and national funds through FCT/MECI, operation no. 15280, with reference COMPETE2030-FEDER-00894900
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maritime and autonomous. You will have a prior background in naval architecture, ocean engineering and mechanical engineering. You should be already familiar with the majority of simulation and experimental
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of a tokamak device. Focus on the description of processes such as plasma sourcing, wall recycling, and transport losses. Apply these models to solve problems related to plasma detachment and the
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consideration. Applications will continue to be processed and reviewed following this date until the position is filled, but candidates are encouraged to apply as soon as possible. Please write your application
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Grant, focusing on the development of novel deep learning tools to recommend reaction conditions for the synthesis of novel TRPA1 inhibitors. The project “A machine learning approach to computer assisted
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of great ape communication to identify evolutionary trends and simulate dynamics that might explain the evolution of common ground in humans. For more information see the following representative articles
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biomedical and social processes and systems. This work will involve the design of innovative techniques to analyze and model novel, high-dimensional and/or multimodal data in biobehavioral disorders and high
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modelling and simulation of transmission and distribution networks, including benchmarking data models, developing optimal power flow algorithms, and creating state estimation and multi-energy optimisation