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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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for offshore CO2/CH4 gas separation, within the scope of OTIC's NPO.2 project . The central goal of this work is to enable the simulation of flows under metastable condensation conditions combined with gas
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that of the naturally occurring antibodies. Mandatory requirements - A PhD in a related field, obtained less than 7 years ago (except under the conditions set out in FAPESP Ordinance PR No. 171/2024 ); - Solid
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at: https://forms.gle/qxf5vo5kKmf9sBNV7 . Mandatory requirements: Bachelor’s degree in Biological Sciences and a PhD in Biotechnology, either completed or with the defense scheduled before the start of
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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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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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conducting studies involving populations with mental health conditions, digital technologies and/or applications for mental health interventions; and research projects in national and international clinical
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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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; • 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