190 parallel-computing-numerical-methods "Simons Foundation" Postdoctoral positions in Denmark
Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Nature Careers
- Technical University of Denmark
- Aalborg University
- Aarhus University
- University of Southern Denmark
- University of Copenhagen
- Aalborg Universitet
- Copenhagen Business School
- Roskilde University
- Technical University Of Denmark
- European Magnetism Association EMA
- Queen's University Belfast
- The Danish Cancer Society
- UNIVERSITY OF COPENHAGEN
- 4 more »
- « less
-
Field
-
2026 - 23:00 (UTC) Type of Contract To be defined Job Status Full-time Hours Per Week To be defined Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
-
and computational biology: Molecular biology, especially genomics methods Spatial omics, including spatial transcriptomics Bioinformatics, especially integration of multi-omics datasets and spatial data
-
and high-performance computing resources. The positions are part of the AI RF Sensors research group, which develops AI-driven methods for RF, microwave, and wireless technologies in close collaboration
-
, e.g., GCMS, HPLC and ECMS. Designing immobilization strategies. Collaborating on mechanistic and computational studies. Collaborating within the CAPeX pioneer center The successful candidate will join a
-
, primarily in tropical and subtropical regions, with a strong focus on hydronic cooling. The research will centre on developing and applying machine-learning methods grounded in control and game theory
-
Job Description Would you like to join a team that supports the green energy transition by developing wind turbine response and validation methods and solutions? We are seeking a highly motivated
-
charging strategies for lithium-ion batteries. The goal is to integrate model-based (digital twin) and data-driven (AI) methods to design and experimentally validate optimized pulse charging protocols. A
-
) and geochemical speciation calculations (such as with PHREEQC or a similar code). We are running several projects in parallel, ranging from fundamental investigations of mineral-water-gas properties
-
migrants and disadvantaged learners through an inclusive digital transformation. You will become part of a diverse and interdisciplinary environment that bridges computer science, pedagogy, and modern
-
determination methods (X-ray crystallography and single-particle cryo-EM) and a high-performance GPU computer cluster for structural biology. Your profile The successful candidate should have: A Ph.D. degree in a