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» Modelling tools Engineering » Control engineering Engineering » Simulation engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 23 Mar 2026 - 23:59 (Europe
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/interventions, and clinical diagnoses. The post would be suitable for applicants with general interests in AI, machine learning, large language models, foundation models, signal processing, computational
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a motivated and experienced candidate to work on computational modelling of low dimensional electroactive materials for energy applications. The project will focus on systems based on arrays of stable
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the development of methods and models refinements, analyses, and optimizations for scale-grid TES integration and operation planning algorithm. RESTORATIVE consists of 17 PhD students at 7 universities and 4
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disease using in vivo and in vitro models, with a particular focus on enterococcal infections. Main responsibilities and duties: In vitro studies of microbiological resistance Phenotypic characterisation
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organisational model (if applicable). -Updating the Quality Management System (QMS) to comply with ISO 9001:2015 and ISO 20387:2018 standards. Implementation of this Plan in order to maintain the Biobank’s
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massive images, videos, 3D point clouds, and other data; design and build deep learning models, conduct model training, evaluation, and iterative optimization; perform model lightweight design for specific
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working in the development of gene therapy strategies for neurological paediatric rare diseases using AAV vectors, animal models and iPSC-derived neurons from patients, with the aim to arrive to clinical
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Institut de Recerca Biomèdica de Lleida, Fundació Dr. Pifarré (IRBLleida) | Spain | about 1 month ago
, immunofluorescence, microscopy, qRT-PCR, and western blotting. Demonstrable knowledge of murine models of kidney disease and colony maintenance. Demonstrable ability to write scientific content in English (Master's
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. To accomplish these objectives, we will combine metabolic modeling and omics-based approaches to identify key regulators of the targeted metabolic shifts. This foundational understanding will inform