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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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, 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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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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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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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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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 19 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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. develops efficient analytical methods for health research. Thus, it contributes to the improvement of the prevention, early diagnosis, and therapy of diseases like cardiovascular diseases or cancer. Overall
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of central venous pressure (CVP) remains challenging in both space and clinical settings. This PhD project aims to develop and validate a non-invasive ultrasound-based method to estimate venous pressure using
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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
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have been completed earlier. Additional requirements: Very good oral and written proficiency in English. Demonstrated experience in computational methods, particularly in deep learning and computer