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position within a Research Infrastructure? No Offer Description The research proposal aims to use machine learning, including large-scale language models, to analyze large datasets of smaller Solar System
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performance in the PhD course; articles in international journals on the subject of the fellowship project; experience in modeling, numerical simulations, and computational programs of chaotic particle
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targets through the investigation of anti-inflammatory peptides derived from animal venoms. The activities involve exploring the biology of the peptides and their in vitro effects on cellular models
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techniques, focusing on environmental parameters; 2. Development of mathematical tools for quantitative assessment of greenhouse gas (GHG) emissions along the production chains; 3. Conducting and supporting
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summary, up to four pages, following this model https://fapesp.br/en/6351 ; 2. List of up to 5 of your main publications, with a brief description of the main results of each of these publications (maximum
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from animal venoms. The activities involve exploring the biology of the peptides and their in vitro effects on cellular models of inflammation and nociception. Candidates must have obtained
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targets through the investigation of anti-inflammatory peptides derived fromanimal venoms. The activities involve exploring the biology of the peptides and their in vitroeffects on cellular models
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."The fellowship offers a monthly stipend of R$ 12,000.00 for an initial period of 12 months, with the possibility of renewal for an additional 4 months. A 10% technical reserve is also provided. The position
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hours of work per week, for 12 months, renewable for an equal period. For more information, please consult: https://fapesp.br/en/postdoc . Those interested should send the following documents by e-mail
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) and Equinor. EPIC is hosted by the State University of Campinas (UNICAMP) in Brazil under coordination of Prof. Denis Schiozer. Field of knowledge: Flow assurance Research area: High-pressure fluid