Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- National Aeronautics and Space Administration (NASA)
- Technical University of Denmark
- University College Cork
- CNRS
- Chalmers University of Technology
- AALTO UNIVERSITY
- Cornell University
- Duke University
- Forschungszentrum Jülich
- NEW YORK UNIVERSITY ABU DHABI
- Nature Careers
- Rutgers University
- Stanford University
- UNIVERSITY OF HELSINKI
- University of North Carolina at Chapel Hill
- Utrecht University
- Aalborg Universitet
- Aalborg University
- Aston University
- Centrum Badan Kosmicznych PAN
- Czech Technical University in Prague
- DIFFER
- Delft University of Technology (TU Delft)
- EPFL
- European Space Agency
- FUNDACIO INSTITU DE RECERCA EN ENERGIA DE CATALUNYA
- Fondazione Bruno Kessler
- Fundacion IMDEA Energia
- GFZ Helmholtz-Zentrum für Geoforschung
- George Emil Palade University of Medicine, Pharmacy, Science, and Technology of Târgu Mureș
- Ghent University
- IMT MINES ALES
- IMT Mines Ales
- Imperial College London
- Imperial College London;
- Instituto Politécnico de Bragança
- KINGS COLLEGE LONDON
- KU LEUVEN
- Lunds universitet
- Luxembourg Institute of Science and Technology
- Riga Stradins University
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- SciLifeLab
- Technical University of Munich
- The Ohio State University
- The Peace Research Institute Oslo (PRIO)
- Tilburg University
- U.S. Department of Energy (DOE)
- UNIVERSITE DE TECHNOLOGIE DE COMPIEGNE
- UNIVERSITY OF SYDNEY
- University of Amsterdam (UvA)
- University of Basel
- University of Colorado
- University of Florida
- University of Luxembourg
- University of Minnesota
- University of New Hampshire – Main Campus
- University of Texas at Arlington
- University of Twente (UT)
- XIAN JIAOTONG LIVERPOOL UNIVERSITY (XJTLU)
- 50 more »
- « less
-
Field
-
, or engineering. Our research integrates mathematical modeling, machine learning, and quantitative experiments to understand and control the dynamics of microbial communities in time and space. Ongoing projects
-
the freshwater budget. It is essential to comprehend the various components of sea level change in order to enhance our capacity to predict and adapt to future sea level changes. It is expected that research
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 15 hours ago
with experience in causal inference predictive modeling, and data linkages will be given preference. Preferred candidates will have a strong publication record for their career stage, strong oral and
-
multimeric complex prediction. You have experience of microbiome sequencing, genome mining, or metagenomic data analysis. You have worked with host-pathogen interaction models, antimicrobial peptides
-
. We use advanced computational technologies to discover how biomolecules and organisms function and interact. We pioneer new methods for prediction, prevention, diagnostics and treatment of diseases. In
-
, effort, and experimental expenses, and to provide data that is unachievable through experiments. Chemical kinetic models form the basis for a predictive tool, used to understand, optimise, and engineer
-
evaluating adaptive Medium Access Control (MAC) and network‑layer protocols to enhance performance in shared spectrum environments. Developing AI‑driven methods for real‑time interference prediction and
-
and interact. We pioneer new methods for prediction, prevention, diagnostics and treatment of diseases. In the Division of Chemical Biology , we combine and develop protein engineering, synthetic
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 14 hours ago
of excellence for outbreak analytics and disease modeling, named Insight Net. This position’s efforts will focus on developing predictive and analytic models of infectious disease and will use dynamic models and
-
development programs. The Office of Fusion Energy Sciences (FES) has four strategic goals: (1) Advance the fundamental science of magnetically confined plasmas to develop the predictive capability needed for a