Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Nature Careers
- George Mason University
- UNIVERSITE DE TECHNOLOGIE DE COMPIEGNE
- University of Texas at Austin
- AALTO UNIVERSITY
- CIC nanoGUNE
- Columbia University
- Constructor University Bremen gGmbH
- Fondazione Bruno Kessler
- Fraunhofer-Gesellschaft
- Fundació per a la Universitat Oberta de Catalunya
- Heidelberg University
- Institute for Basic Science
- Institute of Nuclear Physics Polish Academy of Sciences
- Leibniz
- NORCE Norwegian Research Centre
- NTNU - Norwegian University of Science and Technology
- Nanyang Technological University
- Oak Ridge National Laboratory
- Purdue University
- Swedish University of Agricultural Sciences
- Technical University of Munich
- The Medicines And Healthcare Products Regulatory Agency;
- Universidade de Coimbra
- University of A Coruña
- University of Essex
- University of Luxembourg
- University of Massachusetts Medical School
- University of Newcastle
- University of Texas at El Paso
- Universität Siegen
- Uppsala universitet
- 22 more »
- « less
-
Field
-
will be developed. Finally, the research will develop efficient algorithms and test them on realistic networks and using real data from energy and public transport operators. The Doctoral student is also
-
and data-based models for describing complex materials and (re)active molecules with a focus on their interfaces. Development and implementation of new methodologies and algorithms for simulating
-
inform our understanding of mental disorders through the study of variation in their neural realization. We aim to translate our computational findings to develop improved diagnoses and personalized
-
, integrated circuit designers, and quantum algorithm developers Analyze and interpret experimental data, contributing to scientific publications, patents, and presentations. Engage with the wider international
-
); execute PoCs and tech transfer with foundries, equipment/materials/metrology vendors. Data & Platforms: Establish robust data governance and MLOps pipelines; develop reusable algorithms and prototype
-
(ECLECTX team). This person occupying this position is planned to work on modeling computing elements, established and emerging, at different levels of abstraction, design and development simulation tools
-
), physics-informed generative modeling and representation learning, domain adaptation, ML-assisted lattice field theory, and quantum algorithms and Hamiltonian simulation for high-energy physics, etc