Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- CNRS
- Nature Careers
- Chalmers University of Technology
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Virginia Tech
- Cornell University
- ETH Zürich
- Oak Ridge National Laboratory
- Argonne
- THE UNIVERSITY OF HONG KONG
- Technical University of Denmark
- Technical University of Munich
- Texas A&M University
- Télécom Paris
- University of Southern Denmark
- Academic Europe
- Baylor College of Medicine
- Brookhaven National Laboratory
- CEA Grenoble
- Center for Theoretical Physics PAS
- Chinese Academy of Sciences
- Consejo Superior de Investigaciones Científicas
- Czestochowa University of Technology
- Delft University of Technology (TU Delft)
- Duke University
- EPFL
- FAPESP - São Paulo Research Foundation
- Fraunhofer-Gesellschaft
- Fudan University
- Högskolan Väst
- IMT Mines Ales
- Instituto de Engenharia Mecânica
- KTH Royal Institute of Technology
- King Abdullah University of Science and Technology
- Lawrence Berkeley National Laboratory
- Luxembourg Institute of Science and Technology
- NEW YORK UNIVERSITY ABU DHABI
- National Hellenic Research Foundation
- North Carolina A&T State University
- Pennsylvania State University
- SUNY University at Buffalo
- South Dakota Mines
- The Ohio State University
- UNIVERSITY OF VIENNA
- Umeå University
- Umeå universitet stipendiemodul
- Universidade do Minho
- University of Aveiro
- University of California, Merced
- University of Luxembourg
- University of Miami
- University of Minho
- University of North Carolina at Chapel Hill
- University of Oxford
- Université Savoie Mont Blanc
- Université de Pau et des Pays de l'Adour
- Université de Technologie de Troyes
- West University of Timisoara
- 48 more »
- « less
-
Field
-
benchmarking and comparative evaluation of gene perturbation models across diverse single-cell datasetsCollaborate closely with Helical-AI on scaling, optimization, and integration of the developed models within
-
uncertainty quantification into scientific machine learning workflows and optimize the design of computational (ABM) and wet-lab experiments. • Collaborate with mathematical modelers and experimentalists in
-
, experience working with the PyTorch framework, documented ability to develop algorithms and implement them in efficient code, and experience in statistical modeling, optimization or numerical methods, as
-
the research team in the area of Swarm Intelligence, Reinforcement Learning and Optimization Techniques. As a Postdoctoral researcher, you will: Lead cutting edge research in Swarm Intelligence and Machine
-
communications; iv) System-level design and optimization. The related domains and topics for each of these research areas that we would like to attract excellent researchers to work on are the following: Radio
-
impeller performance, analyze hydrodynamic characteristics, and identify key synthesis parameters influencing material quality. The resulting models will act as a predictive tool for process optimization and
-
), numerical optimization, and inverse problems. Strong emphasis will be placed on personal qualities such as the ability to work in a team and to communicate effectively, as well as a strong analytical ability
-
Postdoctoral researcher (M/F). Modeling damage during earthquakes. Comparison with geophysical data.
work will consist of optimizing the codes that generate input data and process output data. • The postdoctoral researcher will carry out comparative work using data from geodesy and seismology
-
biomedical and biological data, including developing and optimizing models to predict disease progression and create realistic patient profiles; Building and optimizing pipelines for pre-processing and
-
ingredients on human health outcomes. This includes designing, executing, and optimizing in vitro cell culture and microbiological experiments relevant to gut microbiome function, diabetes, lipid dysbiosis, and