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ecoinformatics (e.g., distribution modelling using R) • Field work in the tropics • Experience in chromosome cytology and/or morphometrics The evaluation of applicants will focus on the following
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digital simulator from RTDS Technologies for generation and transmission systems modeling. A comprehensive set of SEL equipment for distribution system testing, including SEL-3555 RTAC, SEL-451, SEL-351
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external AI systems. Experience with distributed systems, reinforcement learning, or simulation environments (e.g., Unity3D, OpenAI Gym, WebGL) is advantageous. Experience in developing and deploying cloud
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learning. Familiarity with reinforcement learning (RL) principles, curriculum learning strategies, and the challenges of real-time systems. Working knowledge of distributed systems and container technologies
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-career or emerging researcher to contribute to cutting-edge work in: Multiagent systems and distributed control Learning and optimisation Variable structure and sliding mode control Smart power and energy
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | about 2 months ago
or not in the context of T2D risk. This is of uttermost importance since rare variants, the ones that are present in small groups or individuals, are broadly distributed in the genome, many overlapping
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LIP - Laboratório de Instrumentação e Física Experimental de Partículas | Portugal | about 2 months ago
-ray Observatory (SWGO). It will focus in particular on the study of extensive air showers, specifically on how the tail of the muon number distribution tail can be measured and exploited to probe
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opportunity for an early-career or emerging researcher to contribute to cutting-edge work in: Multiagent systems and distributed control Learning and optimisation Variable structure and sliding mode control
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opportunity for an early-career or emerging researcher to contribute to cutting-edge work in: Multiagent systems and distributed control Learning and optimisation Variable structure and sliding mode control
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that are internationally leading. The faculty has approximately 3,000 students and around 500 employees, distributed across the faculty administration and six departments: the Department of Electrical Engineering and