Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- DAAD
- Nature Careers
- Forschungszentrum Jülich
- Chalmers University of Technology
- Technical University of Denmark
- NTNU - Norwegian University of Science and Technology
- ; The University of Manchester
- Abertay University
- Cranfield University
- Technical University of Munich
- University of Potsdam •
- University of Southern Denmark
- University of Twente
- ; University of Warwick
- Brandenburg University of Technology Cottbus-Senftenberg •
- Curtin University
- Freie Universität Berlin •
- Ghent University
- KNAW
- Leibniz
- OsloMet
- University of Bremen •
- University of Groningen
- Utrecht University
- ;
- ; Aston University
- ; Loughborough University
- ; Swansea University
- ; Technical University of Denmark
- ; University of East Anglia
- ; University of Reading
- ; University of Sheffield
- ; University of Southampton
- ; University of Sussex
- Arizona State University
- Colorado State University
- Empa
- Heidelberg University •
- Imperial College London
- Julius-Maximilians-Universität Würzburg •
- Justus Liebig University Giessen •
- Karlsruhe Institute of Technology •
- Max Planck Institute for Human Cognitive and Brain Sciences •
- Max Planck Institute of Biochemistry •
- Monash University
- Norwegian Meteorological Institute
- Saarland University •
- SciLifeLab
- Swinburne University of Technology
- TU Bergakademie Freiberg
- Trinity College Dublin
- UiT The Arctic University of Norway
- University of Adelaide
- University of Bonn •
- University of British Columbia
- University of Copenhagen
- University of Göttingen •
- University of Konstanz •
- University of Münster •
- University of Nebraska–Lincoln
- University of Newcastle
- University of Nottingham
- University of Oslo
- University of Stuttgart •
- Universität Hamburg •
- WIAS Berlin
- Wageningen University and Research Center
- 57 more »
- « less
-
Field
-
remains limited, with numerous fabrication challenges yet to be addressed. This collaborative project in close collaborration with partners at ETHZ and TU Delft aims to bridge the gap in current medical
-
on methods development in machine learning, uncertainty quantification and high performance computing with context of applications from the natural sciences, engineering and beyond. It is embedded in
-
with knowledge and interest in structural dynamics, finite element analysis, programming and numerical methods. Applicants are expected to have achieved or be about to achieve a First-class honours MEng
-
) for general criteria for the position. Preferred selection criteria Background/experience within the following fields: Aeroacoustics Fluid mechanics Numerical methods Wind energy Personal characteristics
-
theories and numerical methods, carrying out and analysing field and remote sensing observations and conducting and analysing numerical model simulations. The PhD position is funded by the German Research
-
acquisition and statistical methods is an advantage. Experience with numerical simulations (FEM). You must have a two-year master's degree (120 ECTS points) or a similar degree with an academic level equivalent
-
methods Knowledge of handling radioactive materials is considered an asset Experience in radiochemical methods is considered advantageous Highly qualified and highly motivated graduates and interested in
-
this astonishing picometre fabrication precision. Further aims of the project include: Theoretical modelling of nanoscale effects and processes in SNAP Development of experimental methods of picometre-precise
-
-of-the-art in silico protein structure prediction methods and in vitro screening approaches will be used to systematically elucidate the amyloidogenic potential of the gut metaproteome. Specifically, gene
-
). Maintenance of transgenic mouse colony and embryonic fetal analysis 3). Train students and post-docs in hematopoietic research techniques 4). Prepare figures. Make charts, tables, and graphs from numeric and