Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Karolinska Institutet
- Nature Careers
- Chalmers University of Technology
- Linköping University
- KTH Royal Institute of Technology
- Karolinska Institutet (KI)
- Lunds universitet
- Swedish University of Agricultural Sciences
- Uppsala universitet
- Blekinge Institute of Technology
- Karlstad University
- SciLifeLab
- Sveriges lantbruksuniversitet
- Umeå University
- 4 more »
- « less
-
Field
-
-year fellowship in Artificial Intelligence (AI) driven plant genomics. The project focuses on generating new AI-driven method for identification, annotation and functional investigation of long non
-
for foreign researchers who place their qualifications in Sweden. Duties and profile This postdoctoral project is focused on applied AI-based computer vision and precision cancer medicine research centered
-
photoreceptive pathways using mouse as a model system. Methods used in the lab include various in vitro, ex vivo and in vivo approaches, as well as functional and behavioral studies of relevant opsin knockout mice
-
to primarily focus on (1) developing methods for estimating poverty by combining remote sensing (i.e., satellite images) with machine learning and (2) developing causal inference methods using satellite images
-
numerical methods used to design wind turbines and understand turbulent combustion in jet engines, this research aims to address critical computational challenges in simulating the physical dynamics
-
in nanofluidic channels (the recruiting Langhammer group: Nat Methods 2022, 19 (6), 751-758; Nat Commun 2019, 10, 4426; ACS Nano 2023, 17, 21030-21043); self-assembly of optical microcavities (Shegai
-
to reduce the complexity in simulating lake physical dynamics at scale. Borrowing from numerical methods used to design wind turbines and understand turbulent combustion in jet engines, this research aims
-
expected to start on 2025-09-01 or according to agreement. Application deadline is June 3rd, 2025. Description of the project Half of the world's population is estimated to be infected with the gastric
-
. About the position The successful candidate will do research on how to improve precision and accuracy in forest soil carbon stock estimates within the project “A better check on soil carbon - a novel
-
theories coupled to dynamical fermion matter using two-dimensional tensor network methods. This work builds on our ongoing, long-term research program centered on discrete gauge theories—an area that has