80 software-engineering-model-driven-engineering-phd-position Postdoctoral positions in Brazil
Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
with a PhD in Biology, Ecology, Geosciences, Earth System Science, Environmental Sciences, or related fields and proven experience in computational modeling of vegetation to conduct research
-
position within a Research Infrastructure? No Offer Description This post-doctoral fellowship is intended for the development of a comparative study on international models for addressing and managing open
-
-learn); familiarity with data engineering and infrastructure (PostgreSQL and/or NoSQL, REST APIs, Docker, Git). Differentials: large language models, AI agents and/or semantic databases/graphs. Position
-
to staff position within a Research Infrastructure? No Offer Description What we are mainly looking for (selection criteria can be found in the position description) • PhD in aquaculture, environmental
-
) Positions Postdoc Positions Application Deadline 12 Feb 2026 - 23:59 (America/Argentina/Buenos_Aires) Country Brazil Type of Contract Temporary Job Status Full-time Hours Per Week 40 Offer Starting Date 1 Mar
-
potential use of the Tietê–Paraná Waterway. 3) Solving problems associated with the definition of regular navigation services. 4) Modeling and solving the lock transit scheduling problem. Requirements: • PhD
-
to staff position within a Research Infrastructure? No Offer Description The Center for Inclusion and Accessibility through Technology (CIATec) selects one (01) post-doctoral fellow to work on the
-
position within a Research Infrastructure? No Offer Description Selection for 1 (one) Post-Doctoral Fellowship linked to Thematic Project “Circular Business Models and Ecosystem: incorporating social
-
Educational background and field of knowledge: Agricultural Engineering/Agronomy or related fields, with a focus on Plant Pathology. Specific Requirements The candidate must hold a PhD degree with a thesis
-
staff position within a Research Infrastructure? No Offer Description The project aims to develop and validate advanced Artificial Intelligence models for automated segmentation and prognostic assessment