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contact information for at least two references, all in PDF format. If you have any questions, please email Dr. Mostafa Mobasher at mostafa.mobasher@nyu.edu . Applications may be submitted on https
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behaving mouse, network analysis would be a key asset; Strong interest in the brain research; Proficiency in English; Exceptional motivation for the scientific research (demonstrated via publications
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these degradation pathways. Join our team! Decoding Light-Induced Degradation through Molecular Networking and Data Science Many organic compounds change under the influence of (UV) light. This is beneficial in water
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:this project pioneers a new paradigm of General Genome Interpretation (GenGI) models by combining DNA Large Language Models (DLLMs) with Deep Neural Networks to predict human phenotypes directly from Whole Exome
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Applied to Neuroscience and Drug Discovery Where to apply Website https://gestiononline.bioef.eus/ConvocatoriasPropiasBiobizkaia/es/Convocatorias… Requirements Research FieldOtherEducation LevelPhD
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of collaboration with top researchers within cybersecurity, networking, AI planning, and cloud computing, both within our department and two other universities in Sweden (KTH and Umeå University). The project is
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, for the development and operation of space missions. LUX benefits from an extensive international network of partner institutions through its participation in major projects such as ALMA, SKA, ELT, HESS, CTA, SVOM
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University of California Riverside School of Medicine | Riverside, California | United States | 1 day ago
Riverside. The Obenaus laboratory undertakes a range of studies on how brain injury temporally evolves in both adolescents and adults. For these positions, we are interested in how the cerebrovascular network
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2030 program (see https://www.pepr-risques.fr/fr/programme-de-recherche-risques-irima ). IRIMA is led by CNRS, Grenoble Alpes University and BRGM, and aims to structure and strengthen hazard and risk
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-informed neural networks (PINNs) and potentially generative adversarial networks (Pi-GANs). These models aim to predict cell fate and tumor development in CRC. The postdoc will collaborate with both