Sort by
Refine Your Search
-
Category
-
Country
-
Program
-
Employer
- University of Sheffield
- ; Technical University of Denmark
- ; The University of Manchester
- Delft University of Technology (TU Delft)
- Fraunhofer-Gesellschaft
- GeM - Nantes Université
- IFP Energies nouvelles (IFPEN)
- Technical University of Denmark
- UNIVERSIDAD POLITECNICA DE MADRID
- University of Nantes
- Uppsala universitet
- 1 more »
- « less
-
Field
-
5 Feb 2024 Job Information Organisation/Company IFP Energies nouvelles (IFPEN) Department Applied Mathematics Research Field Mathematics » Statistics Researcher Profile First Stage Researcher (R1
-
for research. The candidate should possess a good understanding of structural dynamics and coding (MATLAB/Python) with a deep mathematical background. A candidate who demonstrates exceptional aptitude in
-
/Qualifications Technical Background: degree in engineering, aeronautics or applied mathematics. Required knowledge: Optimization and Machine learning, Computational Fluid Dynamics, wind turbines (e.g., Openfast
-
beneficial: Essential qualifications: Educational Background: A background in Engineering, Economics, Physics, Mathematics, or a related field with an emphasis on development or assessment of sustainable
-
13 Apr 2024 Job Information Organisation/Company Uppsala universitet Department Uppsala University, Department of Earth Sciences Research Field Engineering Geosciences Mathematics Physics Technology
-
focus on energy system analysis What you bring to the table ongoing studies in computer science, mathematics, physics, engineering or similar good knowledge of Python previous knowledge in the field
-
5 Apr 2024 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Technology Researcher Profile First Stage Researcher (R1) Country Netherlands Application Deadline 12 May 2024 - 21:59 (UTC) Type of Contract Temporary Job Status Not Applicable Hours Per...
-
(coupling by simultaneous or sequential geoelectric then seismic inversion) or data fusion (relevant mathematical model to be identified: clustering, fuzzy logic, etc.). For this third phase
-
. The following qualifications will be beneficial: Essential qualifications: Educational Background: A background in engineering, economics, physics, mathematics, or a related field with an emphasis on development
-
mathematical fluid dynamics. Aim To create a fast, efficient, validated software tool for the layout of wind or tidal-stream turbine arrays. Background Wind turbines now generate more than a quarter of UK