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. Dubacheva in the I2BM team of DCM (Département de Chimie Moléculaire, CNRS-UGA). I2BM research focuses on the design of macromolecular architectures and functional interfaces for bioanalysis and therapeutic
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design and discovery, including the use of artificial intelligence (AI) and machine learning (ML) techniques. The hired candidate will focus on computational aspects of immune repertoire analyses
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grant for a master’s degree within the scope of the project Smart Handle Additive Produced Ergonomic Design, SHAPE-D, reference NORTE2030-FEDER-02963100, financed by Agência Nacional de Inovação (ANI
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Life and Health Sciences Research Institute (ICVS), from the School of Medicine (EM) of the University of Minho | Portugal | 20 days ago
patterns in the nucleus accumbens in real time through in vivo calcium imaging in animals performing behavioral tasks related to PTSD; - Manipulation of neuronal circuits through optogenetics and
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of the recognition certificate is mandatory for contract signature. More information can be obtained at: https://www.dges.gov.pt/en/pagina/degree-and-diploma-recognition . Where to apply E-mail lasige-candidaturas
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of representative reliability estimation methods used in centralized learning to federated learning settings. 2) Design an experimental setup with real/realistic datasets to study to evaluate how accurately
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skills in generative models applied to the design of bioactive peptides, with a strong focus on integrating these methods into the IA4Farma ecosystem. The work will include collecting and preparing peptide
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be found on our website https://www.ucl.ac.uk/biosciences This is an exciting opportunity to join the Cox Lab in the UCL Centre for Integrative Anatomy. The successful applicant will conduct research
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to RMIT with the possibility of novel and important scientific outcomes. By harnessing nature’s design principles for bio-adhesion, the research work aims to develop innovative wet adhesive materials based
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credentials issuance platform with European efforts in the area of lifelong learning management. The proposed work aims to investigate, design and implement proof-of-concept mechanisms that support the