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Field
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selection criteria Knowledge/experience with control engineering, information fusion and/or data assimilation, marine technology Knowledge of and hands-on experience with machine learning and/or statistical
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qualitatively; Presenting (joint) research results at workshops and conferences; Publishing (joint) research results and writing a PhD-thesis within the period of appointment; (Assisting in) teaching activities
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, nor can you be employed in a PhD position for more than one fixed-term period at the same institution. The University of Bergen is subjected to the regulation for export control system. The regulation
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for transformers, map the benefits and risks of increasing the load and temperature limits, and pilot new concepts for risk control. The PhD Position belongs to Work Package 1 of KSP UPLOAD: ‘System-level Benefits
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Inria, the French national research institute for the digital sciences | Villeurbanne, Rhone Alpes | France | about 1 month ago
the sensitivity and uniqueness of information used to express user intent, and estimating the consequences of data leakage, including re-identification risks. Sensitive data-flow analysis: tracking how personal and
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the work aligns with your goals and aspirations. For more details see https://binyshlab.com/positions/ What will you do? Conventional robotic bodies rely on computationally intensive centralized control and
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to watch video, or click here to open video) PhD position The Department of Biomedicine at the Faculty of Medicine, has a vacancy for a full-time PhD candidate for a period of three (3) years. The preferred
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throughout the period of performing the project tasks, subject to the exceptions provided for in the NCN regulations; education or research experience in computer science, artificial intelligence, machine
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individuals in the early phase of Alzheimer’s disease. In each study, participants perform single sessions (acute) and a period (chronic) of high-intensity interval training or moderate-intensity continuous
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, multimodal data interpretation, real-time stream processing, adaptive robot control, trust calibration, and edge-cloud deployment. The expected outcome is an inclusive, interpretable, and sustainable AI-based