Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Nature Careers
- CNRS
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Virginia Tech
- University of North Carolina at Chapel Hill
- Technical University of Munich
- University of Luxembourg
- Argonne
- DURHAM UNIVERSITY
- Duke University
- Forschungszentrum Jülich
- Inria, the French national research institute for the digital sciences
- Leibniz
- National Aeronautics and Space Administration (NASA)
- National Hellenic Research Foundation
- Technical University of Denmark
- The Ohio State University
- Universidade de Coimbra
- WIAS Berlin
- ;
- Aarhus University
- Austrian Academy of Sciences, The Human Resource Department
- BRGM
- Baylor College of Medicine
- Case Western Reserve University
- Central China Normal University
- Chalmers University of Technology
- Chalmers tekniska högskola
- Chinese Academy of Sciences
- Cornell University
- Delft University of Technology (TU Delft)
- Delft University of Technology (TU Delft); Delft
- Durham University
- ETH Zürich
- Fudan University
- Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association
- INRAE
- INSTITUT NATIONAL DES SCIENCES APPLIQUEES
- KTH Royal Institute of Technology
- King Abdullah University of Science and Technology
- Lawrence Berkeley National Laboratory
- Oak Ridge National Laboratory
- Texas A&M University
- The University of Arizona
- The University of Edinburgh;
- Umeå universitet stipendiemodul
- Universitat Politècnica de Catalunya (UPC)- BarcelonaTECH
- Universitatea Maritimă din Constanța
- University of Arkansas
- University of California
- University of California, Merced
- University of Florida
- University of Graz
- University of Maine
- University of Namur
- University of Southern California
- University of Southern California (USC)
- University of Texas at Arlington
- University of Virginia
- Université de Namur
- 50 more »
- « less
-
Field
-
topological optimization of light guidance in HCFs, and numerical simulation of thermo- and fluid dynamics under fiber-drawing processes. Apart from the main tasks above, the postdoc can be involved in
-
machine learning—for chemical and biological applications. You will design and implement models ranging from molecular to process scales, develop model-predictive control and optimization strategies, run
-
: Initiate and maintain cell cultures Prepare and maintain biological stocks Maintain proper lab and experimental records, both digital and hard copy Test, optimize, troubleshoot new and existing methods and
-
mining waste deposits (MATs). This project integrates mineralogical and mechanical characterization, pilot-scale testing, and advanced process simulation, with the objective of optimizing grinding
-
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
-
Associate with mathematical modelling and numerical/data analysis background to join our food system resilience project, led by University of Reading, joining a large interdisciplinary team with an excellent
-
. This will be made on different Cu-FR4-Cu laminate test-structures with a FR4 thickness ranging between 35 to 100 μm. A preliminary assembly process optimization will be performed (e.g., temperature
-
strategies (e.g. predictive or machine learning approaches) to improve performance and reduce costs. Collaborating with industrial partners on design optimization, life-cycle analysis, and business case
-
on design optimization, life-cycle analysis, and business case development. Publishing results in journals and conferences, and engaging with stakeholders through workshops and demonstrations. The position is
-
solution; Activity 3 - Development of numerical prediction tools and models; Activity 4 - Parametric studies, analysis, and optimization of solutions; Activity 5 - Production of prototypes for experimental