Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
, graphs); experience with analysis and processing of large volumes of data; development of reproducible scientific software; proficiency in Python and libraries (Pandas/NumPy and PyTorch/TensorFlow/Scikit
-
biology and comparative genomics; - Demonstrable experience with bioinformatics tools for genome analysis; - Demonstrable experience with bacteriophage genome assembly and annotation; - Proficiency in
-
; - Proven experience in molecular biology techniques, clinical pathology, and translational research with human samples; - Basic knowledge or high motivation to work in bioinformatics and omics data analysis
-
at least one of the following topics: school curriculum, educational assessment, educational public policies, or inclusive education; analysis of curricular guidelines such as the National Common Core
-
? The selected applicant will be involved in field sampling, in situ and ex situ experiments, laboratory work, data analysis, and writing manuscripts. Applicants should send an e-mail to kitahara@usp.br
-
Foundation (FAPESP), and combines statistical analysis, spatial methods, and qualitative research. Georeferenced data from the Military Police and the Municipal Secretariat of Urban Security will be used
-
governance strategies. The study will combine document analysis, interviews with public managers and international experts, and the construction of a comparative analytical framework covering health policies
-
detector/air-shower simulations and/or gamma-ray/multi-messenger astrophysics; strong programming/data analysis; excellent English. This opportunity is open to candidates of any nationality. Apply: send Prof
-
analysis using germination/seed databases. Activities: - Organize/lead experiments, field sampling, and trait measurements; - Manage/analyze data from germination/seed trait databases; - Elaborate papers
-
(PROINTE-SP), one of the SCDs in São Paulo state (Brazil) supported by FAPESP, the São Paulo Research Foundation. The research aims to develop technologies for data management and analysis capable