Sort by
Refine Your Search
-
Listed
-
Employer
- Chalmers University of Technology
- Lunds universitet
- KTH Royal Institute of Technology
- Umeå University
- University of Lund
- Karolinska Institutet (KI)
- SciLifeLab
- Swedish University of Agricultural Sciences
- Linköping University
- Nature Careers
- Uppsala universitet
- Lulea University of Technology
- Sveriges Lantbruksuniversitet
- Luleå University of Technology
- Blekinge Institute of Technology
- Umeå universitet
- Umeå universitet stipendiemodul
- Jönköping University
- Luleå tekniska universitet
- Mälardalen 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
-
systems for diagnostics and treatment. Core activities include signal processing, antenna design, and measurement hardware development. Building complete prototype systems for clinical testing is a central
-
scenarios. The research combines field experiments, AI-based analysis of museum specimens, and advanced climate modeling to provide process-based insights into the ecological and economic consequences
-
picture recognition. Strong background in machine learning, statistical modeling, and big-data analytics. Experience with infrastructure or transportation data or traffic planning (e.g. micro-simulation
-
, tissue sections, RNA/DNA, tabular data) for predictive modelling using software such as Python Documented experience of neural networks, image processing, deep learning algorithms, and data visualization
-
to provide a more integrated picture of life processes in the context of health and disease. To be a postdoc fellow at the AMBER programme you will get unprecedented medical, biological, and methodological
-
other relevant qualifications A high level of computer proficiency, particularly in advanced imaging and image analysis, FACS, in vitro and/or in vivo assays Very high motivation, ambition and enthusiasm
-
and meet medical challenges. About the research project In this research project, we are looking into microbial defense strategies against external stress, in particular antibiotics and other
-
unexplored intersection between social cognition, attentional processing, and gaze perception. We use several different methods, including functional magnetic brain imaging (fMRI), behavioral and
-
research and education. We offer an international environment, with scientific areas ranging from fundamental chemistry, health and medical technology, materials science, renewable energy, to chemical
-
transferable and interpretable models for tabular data, efficient learning paradigms for medical imaging, and causally grounded and identifiable representation learning. You will have great freedom to influence