Sort by
Refine Your Search
-
Listed
-
Program
-
Employer
- Chalmers University of Technology
- Chalmers tekniska högskola
- Lunds universitet
- KTH Royal Institute of Technology
- Karolinska Institutet (KI)
- University of Lund
- Uppsala universitet
- Linköping University
- Nature Careers
- SciLifeLab
- Stockholms universitet
- Karlstad University
- Karlstads universitet
- Karolinska Institutet
- Luleå University of Technology
- Lund University
- Malmö universitet
- Sveriges Lantbruksuniversitet
- Swedish University of Agricultural Sciences
- Umeå universitet stipendiemodul
- 10 more »
- « less
-
Field
-
prediction metrics to optimize patient care. Identifying and addressing care gaps: Evaluating disparities in clinical management, assessing their impact and evaluating targeted interventions to improve them
-
XLZD. XENONnT is a dual-phase liquid xenon TPC at LNGS with a 5.9-tonne active mass, optimized for WIMP detection with sensitivity to spin-independent cross sections down to ~10⁻⁴⁸ cm². Its low
-
by, computational chemistry to optimize and predict process parameters. The Department of Engineering and Chemical Sciences, with approximately 60 employees, is a part of the Faculty of Health, Science
-
Do you dream of organic and holistic ways of automating the design, motion optimization and control of legged robots? With this postdoc position, you have the opportunity to be a part of the ongoing
-
(LLM), and optimization algorithms. Collaborating with our team to transform research insights into practical, impactful solutions. Staying abreast of the latest advancements in ML, transformers, graph
-
in-situ/operando battery capabilities. You will explore the electrochemical response of operando cells compared to typical lab-based cells and optimize electrode geometires.This project is part of
-
capabilities. You will explore the electrochemical response of operando cells compared to typical lab-based cells and optimize electrode geometires.This project is part of Batteries Sweden (BASE) and with
-
production of cellulose fiber, both complementary to and supported by, computational chemistry to optimize and predict process parameters. The Department of Engineering and Chemical Sciences, with
-
concept will showcase capabilities of an energy island to not only optimally supply its own energy demands and support the grids in normal conditions but also to securely and optimally supply its critical
-
at both nanoscale and macro-scale. Interaction with industrial partners that produce lignin-based adhesive to optimize the function in construction materials will also be needed. Qualifications To be