Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
Information Eligibility criteria Eligible destination country/ies for fellows: Brazil Eligibility of fellows: country/ies of residence: All Eligibility of fellows: nationality/ies: All Work Location(s) Number
-
staff position within a Research Infrastructure? No Offer Description The candidate will work in a project within the scope of the Research Center for Greenhouse Gas Innovation (RCGI), an Applied Research
-
position within a Research Infrastructure? No Offer Description The research group led by Professor Leila da Costa Ferreira is offering a postdoctoral fellowship to work on a project at the Climate Crisis
-
staff position within a Research Infrastructure? No Offer Description One full-time post-doctoral position is available to work in a collaboration between the Laboratory of Bacterial Genetics and the
-
for two years and may be renewed for up to four years, depending on funding availability, the fellow’s performance, and institutional approval. Documentation: 1. Cover letter; 2. Short Curriculum Vitae; 3
-
appointment is for two years, renewable for up to four years, depending on funding availability, the fellow’s performance, and institutional approval. This opportunity is open to candidates of any nationality
-
high-impact journals; - Ability to work collaboratively with autonomy and a strong focus on results. Further Information and Application: Full call available at: https://esalqgeocis.wixsite.com/geocis
-
of Artificial Lift Operation”, considering data analysis (time series analysis) to identify failures and damages in the artificial oil lifting process. The fellow will work within the scope of the Energy
-
position within a Research Infrastructure? No Offer Description A post-doctoral researcher is sought to work on the synthesis and characterization of hybrid nanoparticles for applications in magnetic
-
and radar remote sensing, climate time series, and hydrological models. The work will employ machine learning and explainable AI techniques to improve flood prediction under different hydroclimatic