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epigenomic assays, enabling efficient processing of large-scale multi-omics datasets, and apply them to decipher human diseases. • Translational Discovery: Integrate computational findings with clinical and
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characterization at large scales using both LiDAR and RGB/multispectral data. High resolution vegetation mapping using Lidar and Satellite Imagery. Participation in the construction of Multi-Layer Digital Twin
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, purposefully guides everything we do in vocational education to deliver our vision: to position RMIT as a leading multi-sector provider with global impact and influence. Led by our Deputy Vice Chancellor
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candidate will be dedicated to finding creative solutions and have a genuine curiosity and enthusiasm to work with a multi-disciplinary research team in computer science, as part of the SCALE centre
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ultrasound, Laboratoire d'imagerie Biomedical, LIB , https://www.lib.upmc.fr/ ) and nanoparticle engineering ( PHENIX Laboratory https://phenix.cnrs.fr/ ). The LIB is located in the Centre de Recherche des
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and renowned academic programs, Notre Dame provides a dynamic and impactful career path. Job Description Are you excited to help run and improve enterprise-scale cloud platforms that support mission
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Sorbonne Université SIS (Sciences, Ingénierie, Santé) | Paris 15, le de France | France | 23 days ago
appliqués en films, avec ou sans pigment, afin de suivre leur évolution au cours du temps. Leur composition moléculaire sera précisée par une approche multi-spectroscopique (RMN, RPE, FTIR). La relaxométrie
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research group. The selected candidate will contribute to two projects: Investigation of genetic predisposition to medications-induced side effects In this project knowledge of FinnGen study large-scale
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Institut Supérieur de l'Aéronautique et de l'Espace | Toulouse, Midi Pyrenees | France | 14 days ago
enjeu sera d'étendre le modèle afin de pouvoir traiter la multi-fissuration (un point important sera la manière de gérer les ramifications entre les fissures). Des tests « numériques » sur des structures
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develops predictive, multi-scale computational frameworks to guide sustainable microbial food production. By coupling data science with mechanistic models, this collaboration between universities, research