Sort by
Refine Your Search
-
Listed
-
Employer
- Chalmers University of Technology
- Lunds universitet
- KTH Royal Institute of Technology
- Karolinska Institutet (KI)
- Linköping University
- Swedish University of Agricultural Sciences
- Umeå University
- Nature Careers
- SciLifeLab
- University of Lund
- Uppsala universitet
- Lulea University of Technology
- Sveriges Lantbruksuniversitet
- Luleå University of Technology
- Luleå tekniska universitet
- Umeå universitet
- Blekinge Institute of Technology
- Umeå universitet stipendiemodul
- Mälardalen University
- Jönköping University
- KTH
- Karlstad University
- Linnaeus University
- Lund University
- Örebro University
- Göteborgs Universitet, Institution för kemi och molekylärbiologi
- Göteborgs universitet, Department of Marine Sciences
- Högskolan Väst
- IFM, Linköping University
- IFM/Linköping University
- Institutionen för akvatiska resurser
- Karlstads universitet
- Linköpings universitet
- Luleå university of technology
- SLU
- Stockholms universitet
- The Swedish University of Agricultural Sciences (SLU)
- Umeå Plant Science Center
- University of Borås
- 29 more »
- « less
-
Field
-
circumstances, as well as clinical service or service/assignments relevant to the subject area. Meriting qualifications Experience in AI-based protein design or structure-based modeling Experience in plastic
-
the time the employment decision is made. Strong background in multiphase flows, cavitation phenomena, or fluid-structure interactions. Documented experience in experimental fluid mechanics and/or reactor
-
microscopy datasets now capture millions of single-cell images across diverse perturbations, but differences in imaging protocols, marker panels, and cell types limit their integration and reuse. A key
-
responsible for device fabrication and testing. The overall aim is to establish clear structure–property–performance relationships and thereby enable the development of efficient and stable photodetectors
-
such as the heart and nervous system, invariably with fatal consequences. The project will focus on probing the molecular factors underlying this instability (see for example https://www.nature.com/articles
-
imaging, computer vision, and predictive modelling. The postdoc will further develop an existing rumen‑fill scoring algorithm into a functional prototype and pilot the technology for longitudinal monitoring
-
for you. We are looking for an ambitious, collaborative and structured person to join our team. In this role, you will take a leading position in advancing the material modelling of brain tissue. Your
-
and molecular genetics as well as hands-on experience with cloning, live-cell fluorescence microscopy, image analysis, and sample preparation for sequencing and multi-omics analyses. The main model
-
include leading the investigation of structural and biophysical properties of miniaturized tumor environment models. A multidisciplinary approach is expected, integrating microfabrication, cell component
-
AI penetration testers require decision support in the form of structured models of the environment being tested, in order to effectively analyse and prioritise attack paths. The research includes