Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Nature Careers
- DAAD
- Technical University of Denmark
- CNRS
- Forschungszentrum Jülich
- NTNU - Norwegian University of Science and Technology
- Swinburne University of Technology
- Technical University of Munich
- Cranfield University
- Ghent University
- Monash University
- University of Southern Denmark
- ; The University of Manchester
- ; University of Southampton
- Chalmers University of Technology
- Leibniz
- University of Nottingham
- University of Twente
- Utrecht University
- ;
- ; Loughborough University
- Abertay University
- OsloMet
- RWTH Aachen University
- Universite de Moncton
- University of Groningen
- Vrije Universiteit Brussel
- ; Aston University
- ; Swansea University
- ; University of Exeter
- ; University of Sheffield
- ; University of Surrey
- Curtin University
- Empa
- European Magnetism Association EMA
- Fluxim AG
- Fraunhofer-Gesellschaft
- Imperial College London
- Inria, the French national research institute for the digital sciences
- Institut Pasteur
- Institute of Physical Chemistry, Polish Academy of Sciences
- Instituto Superior Técnico
- Jönköping University
- La Trobe University
- Max Planck Institute for Meteorology •
- NORCE
- Newcastle University
- Norwegian Meteorological Institute
- REQUIMTE - Rede de Quimica e Tecnologia
- Roma Tre University
- Technical University Of Denmark
- Technische Universität Berlin •
- The Chinese University of Hong Kong
- The University of Auckland
- Universidade de Coimbra
- University of Birmingham
- University of Bremen •
- University of Luxembourg
- University of Nebraska–Lincoln
- University of Newcastle
- University of Oslo
- University of Sheffield
- University of Stuttgart •
- WIAS Berlin
- Wageningen University and Research Center
- Wroclaw University of Science and Technology
- 56 more »
- « less
-
Field
-
, especially in ultracold quantum gases or condensed matter theory Proven analytical, computational, and modelling skills Experience with numerical simulations of quantum or many-body systems A deep curiosity
-
comfortable applying analytical thinking to explore research questions and have programming experience (preferably in Python). You have an affinity with coastal numerical modelling, e.g. AeoLiS, XBeach
-
magnetic components of the dynamo are to be simulated numerically. Your profile: Potential candidates (m/w/div) should hold a Masters or Diploma degree in Materials Science, Mechanical Engineering
-
renovation construction work · evaluate (numerical or data driven) solutions for automated coordinated planning · develop and evaluate self-learning interactive visualisation technologies
-
:100% of the full-time weekly hours Tasks: The PhD student will be responsible for the modeling and simulation of 3D reconfigurable architectures e.g. based on emerging technologies (e.g. RFETs
-
advanced simulation methods, including Reynolds-Averaged Navier-Stokes (RANS), Direct Numerical Simulations (DNS), and/or Large Eddy Simulations (LES), will be employed to accurately model the complex flow
-
for the modeling and simulation of 3D reconfigurable architectures e.g. based on emerging technologies (e.g. RFETs, memristive devices), and the evaluation with e.g. machine learning and image processing benchmarks
-
explore or optimise the flexible structures and manufacturing process of Litz wires. This studentship offers the opportunity for the PhD student to lead the development of innovative simulation tools
-
challenges and decision-making under uncertainty. Ability to translate conceptual models to their mathematical formulation and to test them with numerical and simulation experiments. Excellent communication in
-
) or Direct Numerical Simulation will remain computationally prohibitive for at least several decades. Instead, porous media approximations provide a practical alternative by treating the pebble bed as an