Sort by
Refine Your Search
-
Employer
-
Field
-
staff position within a Research Infrastructure? No Offer Description Post-doctoral researcher with a background in Engineering, familiar with mechanical equipment, signal processing, statistical analysis
-
extensive experience in: research with humans/biological samples; exome and variant analysis; Bulk RNAseq data analysis; immunoenzymatic assays (ELISA); structural bioinformatics (docking, modelling
-
bioinformatics for genetic association and genotype-phenotype correlation studies; functional variant interpretation; support for complementary analyses (pharmacology, biomarkers); statistical analysis and
-
(parallelization, efficient data structures), numerical testing, and results analysis. Familiarity with numerical methods, scientific programming in C++, and an interest in reservoir engineering problems
-
can be demonstrated through courses, publications, graduate work, or internships in specialized laboratories; c) Advanced knowledge of multivariate data analysis, preferably using the R environment; d
-
knowledge to the redesign and enhancement of public policy instruments in the municipality of Rio Claro (São Paulo state, Brazil). The postdoc project comprises: analysis of the objectives and instruments
-
postdoctoral fellowships. 1. Robust Methods for Volatility Estimation with High-Dimensional Data — design, implementation, and computational analysis. Supervisor: Prof. Luiz Koodi Hotta. 2. Forecasting Methods
-
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
-
bioluminescent organisms. Requirements: Proven experience in molecular biology, heterologous expression and purification of proteins, enzymatic assays, proteomic analysis and synthetic biology, PhD obtained within
-
, the Brazilian national public health network), with an analysis of cancer care maps in the health regions of São Paulo and related training processes. This project is carried out by the University of São Paulo's