Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- ;
- CNRS
- Université Grenoble Alpes
- University of Cambridge
- AALTO UNIVERSITY
- Duke University
- Fundación IMDEA Materiales
- Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S)
- Nature Careers
- UNIVERSIDAD POLITECNICA DE MADRID
- UNIVERSITY OF HELSINKI
- University of Oslo
- AIMEN
- Ageing better colab
- Babes-Bolyai University
- CEITEC MU
- California Institute of Technology
- Case Western Reserve University
- DAAD
- Delft University of Technology (TU Delft)
- Goethe-University, Frankfurt
- Ingeniarius, Ltd.
- Institute for Biomedicine and Glycomics / Institute for Drug Discovery
- Institute of Biotechnology of the Czech Academy of Sciences
- Lunds universitet
- Prof. Ruilin Pei and Shenyang University of Technology
- Sabanci University Nanotechnology Research and Application Center
- Sveriges lantbruksuniversitet
- TU Berlin
- Tampere University
- Technical University of Munich
- Temple University
- The University of Copenhagen
- The University of Sydney
- University of Adelaide
- University of Bergen
- University of Birmingham
- University of Liverpool
- University of Newcastle
- University of Sheffield
- University of Southampton
- University of Strasbourg
- University of Texas Rio Grande Valley
- University of Utah
- University of West Bohemia
- University of Zurich Blockchain Center
- Wageningen University & Research
- 37 more »
- « less
-
Field
-
the distribution of mechanical loads in the wind farm, thus also extending the lifetime of the wind farm. Your PhD project is integrated into the Living Lab 70 GW Offshore Wind, which researches crucial aspects
-
relation to the targeted mechanical response. The originality of the project lies in taking advantage of the shape and properties (anisotropy) of the material assembly to “program” the actuator kinematics
-
integrating local flexibility markets through distributed AI-based coordination, market mechanism design, and cloud-to-edge computing. It aims to develop scalable machine learning methods for coordinating grid
-
integrating local flexibility markets through distributed AI-based coordination, market mechanism design, and cloud-to-edge computing. It aims to develop scalable machine learning methods for coordinating grid
-
In this position, you will work on microscopy-integrable measurement technologies used to study three-dimensional cell culture models of breast cancer tissues. This PhD candidate position is
-
to join the team for this project. An ideal candidate will have a strong academic background in geotechnical engineering, civil engineering, computational mechanics, fluid mechanics, or a related field
-
required to perform the role are: A PhD (or be close to obtaining one) in computational mechanics, applied mathematics or a closely related area. A strong research track record in developing computational
-
) Positions PhD Positions Country Spain Application Deadline 4 Apr 2025 - 20:00 (Europe/Madrid) Type of Contract Permanent Job Status Full-time Hours Per Week 37,5 Offer Starting Date 1 Jun 2025 Is the job
-
) Positions PhD Positions Country Spain Application Deadline 4 Apr 2025 - 20:00 (Europe/Madrid) Type of Contract Permanent Job Status Full-time Hours Per Week 37,5 Offer Starting Date 1 Jun 2025 Is the job
-
have experience working in industry or academia, hold a PhD in AI with a background in mechanical systems and lifetime analysis (for the Research Associate Role you will have similar technical knowledge