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Instituto de Ciencias del Patrimonio - Spanish Council for Scientific Research (CSIC) | Spain | about 1 month ago
for developing non-invasive, holistic tools to understand the structure of current landscape in Rota Island (Commonwealth of the Northern Mariana Islands), especially in forested areas -through high resolution and
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) department at the University Pompeu Fabra (UPF), a high-class institution with demonstrated competitiveness. The lab is physically located at the Biomedical Research Park of Barcelona (PRBB ), a
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research support personnel in the OppArch Lab, led by Vincenzo Mancuso and Marco Ajmone Marsan.The members of the OppArch Lab focus on solutions for extremely high-performing opportunistic architectures
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high degree of ambition and motivation, and with good personal qualities to work in our Team. - Good level in English. About the Gnm3 group: Our research focuses on the design, synthesis, and
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candidate will be expected to lead the preparation of national and EU funding proposals, collaborate closely with cross-functional teams, and lead or contribute to high-impact scientific publications. Where
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drones equipped with high-resolution cameras and multispectral sensors” of the Department of Mathematics. Reference: I-PI 69-25 Pursuant to the provisions on the regulations governing calls
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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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Predoctoral researcher at the Targeted Therapeutics & Nanodevices Research Group (Project BRAINZYME)
physiological conditions. • Examine their performance in 2D and 3D systems, including chemical and genetic disease models, multi-cultures and organ-on-a-chip devices. • Investigate the biodistribution as
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to the project/agreement stated. JOB LOCATION AND SCHEDULE: CEMI UDC FACILITIES – NAVANTIA CITIC,Monday to Fridayfrom 9:00 – 14:00 and 16:00 – 18:00 TASKS TO BE PERFORMED AND THE SUBJECT OF THE CONTRACT The main
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structural bioinformatics, machine learning, and high-performance computing, we will build the first Human Proteome-Wide Frustration Atlas — a resource to better classify genetic Single Nucleotide Variants