Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
Machine Learning Integration Develop and implement machine learning algorithms to enhance the design optimization process Create predictive models using Python-based frameworks (e.g. scikit-learn, PyMC
-
algorithms to enhance the design optimization process Create predictive models using Python-based frameworks (e.g. scikit-learn, PyMC) to accelerate design iterations Integrate ML approaches with finite
-
, including finite-element simulation and topological optimization of light guidance in HCFs, and numerical simulation of thermo- and fluid dynamics under fiber-drawing processes. Apart from the main tasks
-
and meet the qualifications, we encourage you to apply and become a part of this transformative research journey. Duties and key responsibilities As a postdoc in PolyKinetics, you will: Investigate
-
topological optimization of light guidance in HCFs, and numerical simulation of thermo- and fluid dynamics under fiber-drawing processes. Apart from the main tasks above, the postdoc can be involved in
-
tasks include development of adequate single-molecule labeling strategies, optimized use of high-precision MINFLUX microscopy, and establishing methods for data precision analysis. What we offer A
-
Marie Skłodowska-Curie (MSCA) COFUND scheme. Around 20 postdocs will be recruited in the 4th call 2025. Each fellowship lasts 36 months. For more information, visit https://www.euraxess.se/jobs/341970
-
on close collaboration between the university and industry and aims to optimize processes, reduce error margins and increase productivity in the industrial companies involved in the project. Virtual models
-
Group within the Quantum Technology Laboratory (QTL) at the Microtechnology and Nanoscience (MC2) department, working in a large team of PhDs, postdocs and researchers. About the research We are seeking
-
into two main areas: (1) material development and characterization to ensure optimal sensing and mechanical performance, and (2) structural evaluation of SS-FRCMs under environmental stressors such as freeze