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at creating holistic Quantum-enhanced radar systems, complete with both advanced hardware and tailored signal processing that maximises its utility. The PhD goal will be achieved through fulfilment
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€ (including the apportionments of extra payments) Selection process MERIT BASED-TENDER PROCESS Website for additional job details https://secretaria.uvigo.gal/uv/web/convocatoria/public/show/1726 Work Location
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coupled neuronal and vascular dynamics of the human retina. Scientific Objective The goal of this PhD project is to develop new optical methods and advanced image-processing approaches to simultaneously
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history of delivering exceptional education and world-class research. We are offering funded studentships in the Faculty of Natural, Mathematical & Engineering Sciences (NMES) to study a PhD in one of our
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process Applications will be reviewed on a rolling basis until the position is filled. Additional comments Project Overview Cells sense, integrate, and respond to dynamic stimuli through complex signaling
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Engineering (Electronics) or in a closely related field focusing on mixed-signal and/or analog microelectronics. A publication record in leading journals and conferences in the field is also required
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National University of Science and Technology POLITEHNICA Bucharest, Pitesti Branch | Romania | 20 days ago
research activities in the field of signal processing, artificial intelligence and optimization of electrochemical systems for hydrogen production. The activity focuses on the development and validation
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candidates is provided in the framework of the KU Leuven Arenberg Doctoral School (https://set.kuleuven.be/phd ), known for its strong focus on both future scientists and scientifically trained professionals
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cancer predisposition, from laboratory procedure to data analysis and interpretation Only declared in CV/motivation letter: 1 point; In publication as co-author: 5 points In publication as first author: 10
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, spouse employment assistance To apply? Please send your CV along with Cover Letter to info@phd-jobs.net mentioning reference code ML-103 Contact person: Vitaly Pryadka Tel.: +40 765 734 800 Web: http