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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 15 days ago
proper mechanisms for guaranteeing the privacy of the patients. Additionally, AI methods that explore this data may ensure that the patients are not identifiable and that all decisions are transparent
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high-quality instruction in Computer Information Technology, incorporating hands-on, applied learning experiences where appropriate. Teach courses using a variety of instructional delivery methods
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Discovery”, with a strong scientific and environmental ambition: developing lower-footprint AI methods for real inverse problems in nondestructive evaluation. The topic has already passed the first ENACT
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, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting. Position Summary
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 21 days ago
: The scholarship holder will acquire electrophysiological data (EEG; ECG; EMG) from healthy and/or stroke patients, involving brain-computer interfacing with VR training in a lab and in a clinical environment
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validated method for predicting this phenomenon or for accurately measuring the rate of wear caused by cavitation. There are still many scientific challenges in fully understanding and characterising
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applies quantum mechanics-based methods for the description of condensed matter systems, including the successful software package VASP (Vienna ab-initio Simulation Package). We focus on the development
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Teaching Allocation Percentage (TAP) 50% Anticipated Start Date 11/5/2026 Position End Date (If Applicable) DUTIES Students examine current computer issues and selected topics from these, including
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Requirements Student enrolled in a PhD programme in Electrical and Computer Engineering Selection process Contest Evaluation Method(s) Curricular evaluation weighted to 50% on a scale of 20 points with a minimum
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will have master's level training in biostatistics, computer/data science (coding), or epidemiology. This position will work alongside our team's epidemiologist and clinical data manager, and primarily