Sort by
Refine Your Search
-
involve developing an approach that uses Knowledge Organization (KO) metadata and ontologies to optimize parallel processing and scheduling policies (via Kubernetes) for Machine Learning tasks. The fellow
-
Science, Computer Engineering, or a related field, completed before the fellowship start date. Candidates should demonstrate experience in at least two of the following areas: compilers, parallel programming
-
participate in different stages of the project, including: 1) bioanalytical analyses by UHPLC–MS/MS, 2) clinical pharmacokinetic studies, 3) microbiome and bioinformatics data analysis, 4) integration
-
their interpretation, including speckle noise, attenuation effects, altitude variations, and artifacts caused by atmospheric interference. Furthermore, the inherent complexity of different radar types and their specific
-
artifacts caused by atmospheric interference. Furthermore, the inherent complexity of different radar types and their specific configurations hinders the creation of generalizable solutions for processing
-
morning, during rain events and during stable atmosphere for the different formation processes. The vacancy is for the Atmospheric Physics Laboratory at the University of São Paulo's Physics Institute
-
position within a Research Infrastructure? No Offer Description This post-doctoral project aims to investigate magnetic and optical properties of different emergent 2D magnetic materials or heterostructures
-
analyses, as well as in the identification and quantification of carotenoids and fatty acids in different matrices. Experience with microbial xanthophylls—such as bacterioruberin and astaxanthin—and with
-
Interfaces (Germany). The selected researcher will work on the development of different synthetic strategies for block copolymers based on limonene and other renewable monomers, aiming at the design of self
-
on the integration between vegetation modeling and experimental data from the AmazonFACE Program in order to assess how different types of Amazonian plants respond to increased atmospheric CO2. Responsibilities: Lead