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with health/real grid data or machine learning is beneficial but not mandatory. We Offer One year funded of 3-year PhD position (SIF Doctoral Student Grant). Access to high-performance computing
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, and building on developments in camera technology through the FinVision project (https://www.plymouth.ac.uk/research/marine-conservation-research-group/fishing-and-aquaculture/finvision ), the student
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fields of study: Computer Science, Information and Computer Engineering, Software Engineering and Management, Mathematics, or equivalent disciplines Excellent programming skills Extensive knowledge of IT
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Admission Requirements Completed Master's degree or equivalent Diploma degree Preferred fields of study: Computer Science, Information and Computer Engineering, Software Engineering and Management
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 3 months ago
- SIPG LAB/ISR and 1801P.01460.1.04 LARSYS/ISR BASE 2025-2029 – SIPG LAB/ISR, financed by national funds through FCT/MCTES Workplan: Develop new representations for computer vision and machine learning
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The successful candidate will develop generative machine-learning methods for amorphous molecular thin films — the supramolecular structures that govern the performance of organic-electronic materials
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. Faculty Mechanical Engineering From chip to ship. From machine to human being. From idea to solution. Driven by a deep-rooted desire to understand our environment and discover its underlying mechanisms
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Join the Responsible Machine Learning (ML) Group at the Faculty of Computer Science. Led by Prof. Dr. Martin Pawelczyk, who recently joined the University of Vienna from Harvard University, our research
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 3 months ago
; ECG; EMG) from healthyparticipants, involving brain-computer interfacing with Robotic systems and VR in a lab environment Duration: The research fellowship will have the duration of 6 months. It’s
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, GC-MS/MS, and advanced NMR approaches. - **Activity 4:** Multivariate statistics and machine learning to identify microbial and chemical biomarkers of resilience and reveal the interactions linking