Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Technical University of Munich
- ;
- AALTO UNIVERSITY
- University of Cambridge
- University of Utah
- Nature Careers
- Purdue University
- Universite de Moncton
- University of Newcastle
- University of Sheffield
- University of Tübingen
- ; University of Cambridge
- Arizona State University
- Brookhaven Lab
- CSIRO
- Ghent University
- Imperial College London
- Lulea University of Technology
- National Institute for Bioprocessing Research and Training (NIBRT)
- Technical University of Denmark
- The University of Alabama
- The University of Iowa
- UNIVERSITY OF HELSINKI
- Universiti Teknologi PETRONAS
- University of California Davis
- University of Copenhagen
- University of Louisville
- University of Maryland, Baltimore
- University of Massachusetts Medical School
- University of New Hampshire – Main Campus
- VU Amsterdam
- 21 more »
- « less
-
Field
-
inferential statistics, model testing, and power analysis Desired Qualifications Demonstrated mentoring and teaching ability in the areas of statistical methods and use research-related tools Experience with
-
the area of electric power grids. Essential Duties and Responsibilities: • Perform cyber-physical system modeling and simulation for the power grid. • Perform research on power system dynamics and
-
validating deep learning models for the prediction of disease progression from ophthalmic data. Skills include working with image or computer vision-based toolkits, development of multimodal, multidata type
-
16.08.2023, Wissenschaftliches Personal The Chair of Computational Modeling and Simulation (CMS) at the Technical University of Munich invites applications for the position of a Research Assistant
-
strategy of simulating the CO2 capture process in a novel packed bed for process intensification. A combined computational, experimental and process modelling technique will be employed. Funding Notes 1st
-
Modelling post combustion amine CO2 capture plant School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Prof Mohamed Pourkashanian, Prof Lin Ma, Dr Kevin Hughes
-
modelling • A high fascination for technical/scientific problems of theoretical and numerical research • Experience in the field of numerical time-accurate flow simulation, preferably turbomachinery • Ability
-
investigation of the aerodynamic performance of advanced future compressor stages, support-ed by numerical modelling and simulations of performance-enhancing design features. In this research project you will be
-
disciplines). Experience in/Dedication to: planning and conducting chemical experiments, chemical analysis, process modeling/simulation, and optimization Team player skills and enthusiasm to work in a multi
-
; Clinical Translational Sciences and Experimental Therapeutics; Imaging, Modeling & Simulation; CNS Diseases and Drug Addiction. The position is a full-time, non-tenure-track, 12-month appointment based