Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
: 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
-
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
-
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
-
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
-
(MRO), as well as interpretation of results and collaboration with CEMol teams and partner institutions. Mandatory requirements: PhD in Materials Science or related fields; proven experience in
-
, microstructure, and properties. Data analysis and preparation of scientific papers, reports, and conference contributions. Mandatory requirements: PhD in Materials Engineering, Metallurgical Engineering, or
-
, statistical analyses (including multivariate approaches), and scientific writing. Mandatory requirements: PhD in physiology, ecology, neuroendocrinology, molecular biology, or related fields. Strong experience
-
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
-
, 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
-
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