Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Eindhoven University of Technology (TU/e)
- Forschungszentrum Jülich
- Nature Careers
- Erasmus University Rotterdam
- Technical University of Munich
- Biology Centre CAS
- DAAD
- Institute of Nuclear Physics Polish Academy of Sciences
- Maastricht University (UM)
- Umeå University
- Universidade de Vigo
- University of Amsterdam (UvA)
- University of Twente (UT)
- Wageningen University & Research
- CNRS
- CSIC
- Centro de Biotecnología y Genómica de Plantas, CBGP (UPM-INIA)
- Computer Vision Center
- Delft University of Technology (TU Delft)
- Delft University of Technology (TU Delft); Published today
- Dublin City University
- ETH Zürich
- Faculty of Science, Charles University
- Ghent University
- Institut Català de Nanociència i Nanotecnologia
- Institut Pasteur
- Institute for X-Ray Physics, University of Göttingen
- Institute of Fundamental Technological Research Polish Academy of Sciences
- KU LEUVEN
- LInköpings universitet
- Linköping University
- SciLifeLab
- Simula UiB AS
- Sveriges Lantbruksuniversitet
- Swedish University of Agricultural Sciences
- Tilburg University
- Umeå universitet
- University of Bristol;
- University of Luxembourg
- University of Seville
- 30 more »
- « less
-
Field
-
modelling is a valuable tool to revealing the source of UTLS aerosols, the origin of water masses, and formation processes of cirrus particles. Your key responsibilities include: Preparation, operation, and
-
https://www.academictransfer.com/en/jobs/357455/phd-on-mathematical-modeling-of… Requirements Specific Requirements We are looking for talented enthusiastic PhD candidates who meet the following
-
well as co-supervision of BSc and MSc students. This will allow developing indispensable skills. Where to apply Website https://www.academictransfer.com/en/jobs/356854/phd-on-computational-modeling-o
-
Your Job: This PhD project focuses on modelling and simulating future gas grids, exploring transformation pathways, and developing cross-sectoral simulation frameworks to support informed decision
-
Description Objectives: 1) Improve the biomanufacturing efficiency through a combination of advanced computational and experimental techniques (in model organisms such as P. pastoris and C. necator), along with
-
, the PhD fellows will explore various aspects of mechanical and chemical engineering, from snow science, fluid mechanics and biophysics to bioengineering and multiphysics modeling. The list of PhD projects
-
design recovery and stability strategies using large-scale simulation workflows. Build and expand realistic, continent-scale power system models (e.g., the European transmission grid). Implement and test
-
to study grid stability, fault propagation, and recovery dynamics. Analyzing control and protection strategies using high-resolution time-domain models. Developing dynamic models for grid-forming and grid
-
Learning for Foundation Models’, where the aim is to adapt these models to new tasks without forgetting previous knowledge. The precise focus of the project can be defined in collaboration with
-
data in order to identify the different cooling stages and analyse the influence that different parameters may have on heat treatment D. Detailed numerical modelling of the heat treatment process to be