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permeability and nanoreactor performance in an interdisciplinary environment spanning polymer chemistry, supramolecular chemistry, and quasi-living materials. The successful applicant is expected to collaborate
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biogenic particles; the effects of fronts, eddies, upwelling, and other mesoscale processes on biological communities; applications of remote sensing integrated with in situ observations, numerical modeling
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mouse models, cell culture, molecular biology, processing of biological samples for omics analyses, and assessment of in vivo lipogenesis using radioisotopes. Mandatory requirements: Degree in Biological
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the mechanisms of immune regulation in sepsis, with a focus on neuroimmune and interorgan communication. It is also desirable for the candidate to have a strong interest in modelling gene regulatory
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modeling) to design consensus COBRA antigens against avian vírus H5N1; - The post-doctoral researcher will construct hypervesiculating bacterial strains using Lambda-Red recombinase and optimize OMV
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; • Familiarity with statistical analyses and modeling as well as machine learning approaches, supported with strong skills in computational optimization of methods; • Experience working with large-scale datasets
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, supported by Large Language Models (LLMs). Mandatory requirements: The candidate must hold a Ph.D. in Computer Science or a closely related field. Desirable requirements: Experience in Information Retrieval
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email ([email protected] ), an updated Curricular Summary in the FAPESP model , a motivation letter explaining their suitability and alignment with the project “Forensic discrimination of Brazilian
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to industry and developments with Deep Learning (DL), Computer Vision (CV), Transformers, Large Language Models (LLMs), Natural Language Processing (NLP). Mandatory requirements • Bachelor's degree
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position within a Research Infrastructure? No Offer Description Activities and context: The project “Co-production and Implementation of a Care and Professional Training Model in Municipal Health Units in