Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- UNIVERSITY OF HELSINKI
- Technical University of Munich
- Nature Careers
- Carnegie Mellon University
- MASARYK UNIVERSITY
- Bucharest Universty of Economic Studies
- Tampere University
- University of Cambridge
- University of Oslo
- ;
- Adam Mickiewicz University, Poznań
- Babes-Bolyai University
- CIIMAR - Interdisciplinary Center of Marine and Environmental Research - Uporto
- CNRS
- CNRS UMR6614 CORIA
- Cardiff University
- Chalmers University of Technology
- Georgetown University
- IRTA
- Institut de Recherche pour le Développement (IRD)
- KU LEUVEN
- Leibniz
- Masaryk University - Faculty of Arts
- NORCE Norwegian Research Centre
- National Renewable Energy Laboratory NREL
- Nord University
- PHAETHON Centre of Excellence
- Purdue University
- Sveriges Lantbruksuniversitet
- The University of Chicago
- UNIVERSITE DE TECHNOLOGIE DE COMPIEGNE
- Universidade de Coimbra
- University of Bath;
- University of Cambridge;
- University of Copenhagen
- University of Leeds
- University of Liverpool
- University of Minnesota
- University of Nebraska–Lincoln
- University of Newcastle
- Warsaw University of Live Sciences
- Wroclaw University of Science and Technology
- Yeshiva University
- “HORIA HULUBEI” National Institute for Research and Development in Physics and Nuclear Engineering
- 34 more »
- « less
-
Field
-
Posting Title Researcher II/III: EMT Modeling, Simulation and Analysis for Large-Scale Power Systems . Location CO - Golden . Position Type Regular . Hours Per Week 40 . Working at NREL The National
-
in C++ and/or Python is expected, and experience in model analysis and parameter optimisation is beneficial. Experience in machine learning and neural networks is desirable. The successful applicant
-
responsibilities (dependent on experience level of applicant) Develop and improve multi-temporal InSAR processing algorithms (e.g., time series analysis, phase unwrapping, noise mitigation, filtering, atmospheric
-
of geological hydrogen reservoirs, combining geochemistry, microbiology, isotope analysis, and modelling. The doctoral researcher will focus on the geological hydrogen aspects of the project by integrating
-
projects in data-driven nutrition, such as: statistical modelling, AI, and machine learning on large epidemiological cohorts, diet and health data analysis of omics data (metabolomics, proteomics, microbiome
-
analysis will specifically determine how effectively today’s system and operational rules would manage the onset, peak, and recovery phases under a 1976-type drought event. This includes evaluating
-
a Research Infrastructure? No Offer Description This position is part of HEPARD MSCA European funded doctoral network (https://cordis.europa.eu/project/id/101226455 ). The project is training early
-
well as necessary resources for research related field work and conference travel. Your areas of responsibility Participate in data analysis Contribute to report writing Carry out project-related tasks as part of
-
and analysed to advance the use of Creative AI? Applicants are encouraged to collaborate with relevant project partners from the public and/or private sectors within the MishMash network where
-
of the research core (Longitudinal Network Core [LNC]). The individual in this position will be responsible for hypothesis driven analysis of RDAR Center data with outcomes from these being presented and published