Sort by
Refine Your Search
-
Listed
-
Program
-
Employer
- Chalmers University of Technology
- Linköping University
- Uppsala universitet
- Lunds universitet
- KTH Royal Institute of Technology
- Umeå universitet stipendiemodul
- IFM, Linköping University
- Örebro University
- Högskolan Väst
- IFM/Linköping University
- Karolinska Institutet (KI)
- Luleå University of Technology
- SciLifeLab
- 3 more »
- « less
-
Field
-
on methodological development in cryo-electron microscopy (cryo-EM), particularly in image reconstruction and 3D volumetric analysis of macromolecular structures. Rather than aiming to incrementally optimize existing
-
focuses on leveraging zebrafish as a model organism to develop and optimize genetic tools through a directed evolution pipeline, with significant therapeutic and industrial applications. Key
-
-electron microscopy (cryo-EM), particularly in image reconstruction and 3D volumetric analysis of macromolecular structures. Rather than aiming to incrementally optimize existing pipelines, we are interested
-
optimize existing pipelines, we are interested in principled approaches, unconventional formulations, and ideas that may initially seem orthogonal to prevailing trends but deserve careful exploration, and
-
communication limitations, adversarial conditions, continual and adaptive learning in dynamic environments. The research will combine tools from distributed optimization, stochastic approximation, information
-
experience in development of user interfaces, code debugging and optimization is also meritorious. It is considered a merit to have previous experience within EU-funded collaborative international projects
-
, 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
-
predictive confidence, including sensitivity and identifiability analyses Compare grey-box models against purely mechanistic and purely data-driven approaches Optimize model performance for computational
-
. Detailed description of the work duties, such as: Research and optimization of acoustic cell sorting. Designing and building of new acoustic cell separation modalities. Research within single cell proteomics