44 molecular-modeling-or-molecular-dynamic-simulation Postdoctoral positions in Brazil
Sort by
Refine Your Search
-
, uncertainty, and digital platforms; - Methods: Gioia, Langley, Eisenhardt, CNA, QCA; structural equation modeling, neural networks; - Fluent communication in Portuguese and English is considered a plus. The
-
staff position within a Research Infrastructure? No Offer Description The post-doctoral position is part of the project “Integrated Modeling and Predictive Analysis of Flood Risk under Distinct
-
the Education and Knowledge Dissemination axis. The project aims to investigate and bring visibility to women-led movements that resist the predatory models of large-scale wind energy project installation in
-
(XRD) for structural analysis; • Dynamic light scattering (DLS) for particle size distribution and colloidal stability; • Magnetometry techniques (e.g., VSM, SQUID) for magnetic property evaluation
-
or advanced statistical models. Solid experience in advanced programming in R and Python is also required. Applicants must have expertise in the following tools: - Git/GitHub; - API development; - IDEs such as
-
using methodologies recently developed by our group; and (3) exploring the star–disk interface through LSST light curves, spectroscopic and polarimetric follow-up, and hydrodynamic simulations. Candidates
-
– LPS,” to the attention of Prof. Dr. Reinaldo Salomão, by October 30, 2025, with: a letter of interest, Curriculum Vitae, FAPESP model curriculum summary in the model established by the São Paulo
-
tissue in a doxorubicin-induced cardiotoxicity model. The scholarship is BRL12,570.00 per month, plus 10% technical reserve to cover expenses related to the project. The position is open for Brazilian
-
or abroad, in Soil Science, Remote Sensing, Environmental Sciences, or Pedometrics; - Proven experience in pedometrics, soil remote sensing, predictive soil modeling, soil organic carbon, and data science
-
incorporating local constraints (stress, displacement, temperature) via the Augmented Lagrangian method and global compliance constraints, applying coupled thermomechanical simulations to predict performance in