Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Chalmers University of Technology
- Linköping University
- Lunds universitet
- University of Lund
- KTH Royal Institute of Technology
- Uppsala universitet
- Karolinska Institutet (KI)
- Umeå University
- Lulea University of Technology
- SciLifeLab
- Umeå universitet stipendiemodul
- IFM, Linköping University
- KTH
- Linnaeus University
- Luleå University of Technology
- Swedish University of Agricultural Sciences
- University of Gothenburg
- Örebro University
- Department of Forest Genetics and Plant Physiology
- Göteborgs Universitet
- Högskolan Väst
- Kungliga Tekniska högskolan
- Linneuniversitetet
- Luleå University of Tehnology
- Nature Careers
- Stockholms universitet
- Sveriges Lantbruksuniversitet
- University of Skövde
- 18 more »
- « less
-
Field
-
workflow, an important task for the laboratory technician will be to keep up to date with state-of-of the art protocols, optimize and troubleshoot. This requires an expertise and experience in evaluating
-
IEI at Linköping University. This PhD project, funded by Saab, focuses on developing advanced optimization-based control algorithms for control allocation for next-generation fighter aircraft. Control
-
, testing, optimizing, benchmarking and validating custom machine learning algorithms for multi-dimensional remote sensing applications Good social skills, meaning that you enjoy collaborating with others in
-
evaluating efficient and scalable techniques for systems that process and answer such queries (e.g., query optimization algorithms, adaptive query processing approaches). Conducting this research work includes
-
Optimal Transport for Optimization and Machine Learning Appl Deadline: 2026/02/04 11:59PM (posted 2025/12/19, listed until 2026/02/04) Position Description: Apply Position Description Doctoral student in
-
–classical algorithms or optimization methods Background in uncertainty quantification, reduced-order modeling, or machine learning Experience collaborating in interdisciplinary research teams A doctoral
-
important examples such as Schrödinger Cat states, which are superpositions of coherent states with different phases. This project focuses on the optimal preparation of Schrödinger Cat states in a propagating
-
, experience working with the PyTorch framework, documented ability to develop algorithms and implement them in efficient code, and experience in statistical modeling, optimization or numerical methods, as
-
characterization of quantum processors Development and optimization of nano-fabrication processes for large-scale devices Development of optimal control techniches to achieve fast and high-fidelity qubits operations
-
receptors for infection biomarkers, and optimize this technology for diagnosing infections in the wound settings. As a postdoctoral researcher, you will develop methods to functionalize graphene with a range