Sort by
Refine Your Search
-
cities and databases. Mandatory requirements: PhD in engineering, data science and computing, mathematics, or statistics; experience in engineering, data science and computing, mathematics, or statistics
-
preparation, as well as writing scientific papers and reports. Mandatory requirements: PhD completed in the fields of agricultural or biological sciences; practical experience in artificial intelligence
-
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
-
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
-
reports; publish high-impact papers; lead dataset deposits; organize partner workshops. Mandatory requirements PhD in Soil Science, Agronomy or Environmental Science; Solid experience with soil macrofauna
-
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
-
findings to public-sector partners; and contributing to reports, journal articles, and national and international conferences. Mandatory requirements: PhD awarded within the past 7 years by a recognized
-
of the University of São Paulo (USP) in its Butantã campus. Mandatory requirements: Applicants must hold a PhD degree obtained within the past seven years and preferably have a background in architecture and design
-
the distinct characteristics and effects of the financialization of agribusiness in Tocantins. Mandatory requirements: 1) PhD in Social Anthropology; 2) Experience in ethnographic research in the Central-West
-
high-throughput datasets); • PhD in Bioinformatics, Computational Biology, or a related field; • Strong experience in bioinformatics and analysis of next-generation sequencing data; • Proficiency in