Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Chalmers University of Technology
- Linköping University
- University of Lund
- KTH Royal Institute of Technology
- Lunds universitet
- Uppsala universitet
- Karolinska Institutet (KI)
- SciLifeLab
- Swedish University of Agricultural Sciences
- Lulea University of Technology
- University of Borås
- University of Gothenburg
- Faculty of Technology and Society
- Göteborgs Universitet
- Högskolan Väst
- IFM, Linköping University
- IFM/Linköping University
- KTH
- Kungliga Tekniska högskolan
- Luleå University of Technology
- Mid Sweden University
- Mälardalen University
- Stockholms universitet
- Umeå University
- Umeå universitet stipendiemodul
- 15 more »
- « less
-
Field
-
process is the readout optimization which will be the focus of this project; the candidate will compare two existing algorithms used for readout and implement a new, combined solution to improve performance
-
focus on building scalable solutions for large-scale data processing and model training. Experience in working with multimodal or vision models. Experience in working with optimization approaches. Good
-
are essential Additional qualifications Experience and courses in one or more subjects are valued: statistical machine learning, optimization, deep learning and signal processing. Rules governing PhD students
-
. Optimal transport is a key mathematical concept that allows us to understand notions like inference and sampling as dynamic processes of probability distributions. Building on the theoretical insights, we
-
Giacomello. Examples of tasks: Design, perform, and optimize experimental workflows for ST, SmT and single-cell multiomics Prepare and process animal and plant tissue samples for spatial and sequencing-based
-
conduct research on the theoretical foundations of mathematical optimization, as well as its applications to emerging challenges in machine learning and engineering. You will write and submit research
-
monitoring for radiofrequency signals for various applications as anomaly detection, modulation classification, sensing, and adaptive spectrum optimization, we are now looking for a Postdoctoral Fellow with
-
dynamics. Particular emphasis is placed on opinion dynamics as well as distributed problems in coordination, optimization, and learning. The research encompasses both theoretical and computational aspects
-
Do you want to contribute to groundbreaking research in the intersection of battery systems and data-driven optimization? This is an exciting opportunity for a postdoctoral position at the Division
-
of these subjects are valued: machine learning, automatic control, system identification, optimization, signal processing, filtering and smoothing, probabilistic modelling, dynamical systems