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experience related to the position in artificial intelligence application programming and network programming (punctuation: 35) Item 04: Specific education related to the position, see previous point
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line with MSCA Doctoral Networks regulations. Living + mobility allowances: The gross salary consists on 3833 + 710 EUR per month. Family allowance: 660 EUR (gross) per month will be paid
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Doctoral Candidate (PhD student position in biociences) / DC7 - SHIELD Doctoral Network This PhD position is part of the European Doctoral Network “SHIELD” (Strategies for Healing Implant-associated
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thalamocortical networks in humans and elucidate their critical roles in cognitive functioning, as well as in developmental and neurodegenerative disorders, thereby advancing our understanding of brain health and
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the scientific community and the general public (3) Network-wide training in theory and methods (4) Complementary training courses (5) Involvement in proposal writing, task coordination (6) Development of skills
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Network (MSCA-DN) SCARPA - Sustainable and Circular Footwear Training Program, within the Horizon Europe Programme of the European Commission. SCARPA is a consortium of high-profile universities, research
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be hired as PhD student researchers at the CBGP. HOW TO APPLY: Please send your CV, including your chosen research project name and code, directly to the PI(s) of the project. You can contact
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be performed inside the open-source Kratos-Multiphysics code. Expected results: Assessment of non-linear solid mechanics methods with IBRA-type discretizations Use of trimming of 3D geometries
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Instituto de Ciencias del Patrimonio - Spanish Council for Scientific Research (CSIC) | Spain | about 1 month ago
directly to pioneering, internationally visible research; working on a friendly enviroment offering dedicated mentorship; and having access to a large international network, and to 1000m² of lab facilities
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Description Grant/funding reference: PID2022-137099NB-C42 Job title: COMMUNICATION, CODING AND PROCESSING TECHNOLOGIES FOR NEXT-GENERATION QUANTUM CLASSICAL NETWORKS (MADDIE) Research line: INFORMATION SYSTEMS