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Brazil's São Paulo State University (UNESP), involving research teams in both countries. It is jointly coordinated by Prof. Andre Freitas (IDIAP) and Prof. Daniel Pedronette (UNESP). The scholarship
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: Computer Science or Computer Engineering; • PhD: Computer Science or related fields within the last 7 years; • Knowledge of: Python, DL, CV, Transformers, LLMs, NLP; • Relevant scientific publications; • English
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also includes a 12-month research stay at Columbia University funded by FAPESP (BEPE ). Mandatory requirements: PhD in Physics, Materials Science, or a related field, completed or with defense scheduled
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requirements: PhD obtained less than seven years ago in Chemistry, Materials Science/Engineering, Chemical or Biomedical Engineering, Biotechnology, or a related field. Proven experience in electroanalysis and
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data and deep learning methods to assess canopy cover, quality, carbon stocks, and ecosystem services. Mandatory requirements: PhD in areas related to forest resources, remote sensing, data science, or
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, public land management, or urban and housing regulation. They must hold a PhD awarded within the past seven years, have an outstanding graduate academic record, be available for full-time, on-site research
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feed, in collaboration with the multidisciplinary team of the Thematic Project funded by FAPESP through grant number 2021/08152-0 . Mandatory requirements: PhD obtained within the past 7 years in
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well as in the operation of analytical instruments for the structural characterization of nanostructures. The candidate must have a PhD in Physics, Chemistry or Materials Engineering (or related). How to apply
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Sciences or related fields, with a PhD in Sciences from a graduate program in Biochemistry or Physiology; experience with white and/or brown adipose tissue metabolism and physiology; handling, breeding, and
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to their Lattes CV, ORCID, and other relevant profiles; and (iii) A recommendation letter, preferably from the PhD supervisor, or from another referee familiar with the applicant's scientific and technical