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Instituto de Matematica Pura e Aplicada | Rio de Janeiro, Rio de Janeiro | Brazil | about 3 hours ago
projects that apply advanced techniques in Applied Mathematics, such as machine learning and deep learning, to produce innovative solutions. Its overarching goals include accelerating knowledge transfer to
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for the Itararé and Rio Bonito Groups; develop predictive prospectivity models using machine learning, deep learning, and AI; apply spatial interpolation to develop favorability maps; integrate
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machine learning models for in silico screening. Lastly, they will coordinate activities with partners in Scotland and Denmark. Mandatory requirements: Ph.D. completed within the last 7 years in fields
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machine learning algorithms to support the traceability of the beef’s geographical origin. She/he will participate in all stages of the project, including planning and supervision of sample collection
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sensing, data science, or computing, obtained within a maximum of 7 years; application of machine learning and deep learning methods to remote sensing images; proficiency in programming (R, Python, or
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Sciences (or Doctorate in Exact Sciences); proven experience in Artificial Intelligence and Machine Learning. Desirable requirements: Plus: Experience with Physics-Informed Neural Networks; ability
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modeling, and machine learning; and the development of ecological indicators for environmental monitoring in the Campos and Santos Basins, Brazil. Mandatory requirements Applications from people with
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Biotechnology available within the project iSeRa-AI: Interactive Sequence Ranker (iSeRa) with improved candidate Antibody Identification (AI) through machine learning , Ref. 788 - iSeRa-AI_AF, financed by