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Field
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We have several PhD, Research Assistant (RA) and master research thesis’s opportunities available in areas such as Multimodal Large Language Models (MLLM) for human understanding, MLLM safety, and
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domain knowledge in 4 core application domains, for which reliable AI methods are most urgently needed: medicine and healthcare, robotics & interacting systems, algorithmic decision-making, and learning
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team members to support research activities; Acquire and analyze data; Report and disseminate results. Screening criteria Applicants must demonstrate within the content of their application
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experimental studies with healthy volunteers using psychophysical methods, psychophysiological measurements, mathematical modelling, and machine learning approaches. RESPONSIBILITIES: Participate in
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eligible for an exception to this work arrangement. Alternative work arrangements may also be considered to accommodate candidates as required. To learn more about these options, please contact the NRC
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Information Management, or related fields; Have basic knowledge of machine learning models in supervised and unsupervised learning tasks (i.e., k-nearest neighbours, Decision Trees, Neural Networks, Logistic
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will be excellent teachers and scholars, with the potential to make a significant contribution to scholarship within the area of legal education or the Scholarship of Learning and Teaching. They will
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HIL environment rather than only on offline simulation. Learning outcomes anticipated include stronger understanding through immediate feedback on live systems, deeper engagement with
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requirements: Applicants eligible for this call must cumulatively meet the following two requirements: Requirement 1: Be enrolled in a PhD program in the area of Computer Engineering, to be duly proven
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: https://www.ff.ulisboa.pt/faculdade/recursos-humanos/bolsa-de-investigacao-para-mestres-projeto-2023-14170-pex . The documents that instruct the application must be submitted in Portuguese