93 python "https:" "FUNDACIÓ ESADE UNIVERSITAT RAMON LLULL" Postdoctoral positions in Brazil
Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
planted forests; • Experience in data analysis (R or Python); • Fluency in scientific English; • Valid driver’s license; • Availability to reside in Piracicaba. Applications: via the link https://forms.gle
-
, Stata, Python, etc.); • Experience with spatial analysis or georeferenced data (considered a plus); • Interest in public security policies. Application Period: January 26 to February 15, 2026 Link
-
annotation; proficiency in R or Python; and excellent English. Experience with spatial transcriptomics and immunology of autoimmune diseases is desirable. Interested candidates should send a motivation letter
-
in Python (R and Matlab); • Familiarity with large-scale data processing and cloud computing (Google Earth Engine, BDC, AWS). Application: Send a cover letter (1 page), updated CV, and two references
-
with data analysis (R or Python); - Scientific English proficiency; - Valid driver’s license; - Availability to live in Piracicaba, São Paulo state, Brazil. Applications: register at https://forms.gle
-
); • Intermediate/advanced knowledge of R and Python for genomic analysis; • Fluency in English for oral and written academic communication. Scholarship: R$ 12,570.00 per month + 10% Technical Reserve (according
-
, or Computer Science - Research experience in quantum computing and optimization - Strong programming skills (Python, quantum frameworks) Desirable: ML/QML background and interest in sustainability
-
-UNICAMP) in São Paulo state, Brazil. Details of the Call for Proposals and application procedures are available at: https://docs.google.com/forms/d/e/1FAIpQLSdtAdgSIuBpzvUZe9QU-27uGnmIG604kfiuZ3x2CJeOXj7bkg
-
(FCT-UNESP) in Presidente Prudente – but the selected candidate must be open to working and communicating with all researchers on the team (see https://bv.fapesp.br/en/auxilios/118867 ) The selected
-
your experience in the field. For more information, please access the complete call for applications at https://gbdi.icmc.usp.br/projects/ihealth_md/ . More information about the fellowship is at