Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Chalmers University of Technology
- SciLifeLab
- Umeå University
- Linköping University
- Lulea University of Technology
- Karolinska Institutet
- Swedish University of Agricultural Sciences
- Mälardalen University
- University of Lund
- Uppsala universitet
- Karolinska Institutet, doctoral positions
- Luleå University of Technology
- Lunds universitet
- Sveriges lantbruksuniversitet
- Blekinge Institute of Technology
- Nature Careers
- Umeå universitet
- University of Borås
- 8 more »
- « less
-
Field
-
’. The department undertakes fundamental research on model organisms, agricultural crops, forest trees and bioenergy crops. Our main areas of research comprise the interaction of plants with microorganisms and other
-
team of researchers in an European project. As a main topic, you will perform your research in one of these areas: -Data model translation, to enable the automatization of the engineering process
-
theoretical research in nuclear physics, nanometer physics, quantum information, atomic physics, and modeling of materials, with several collaborations internationally and within Lund University. Subject
-
technologies for medical diagnostics, treatment, and monitoring. Our research activities span computational modeling, algorithm development (using both traditional signal processing and machine learning
-
spectral sensor data. By using absorbance data, you will train models to predict key water quality indicators such as nitrate, nitrite, and dissolved organic carbon in both freshwater and marine environments
-
understanding how mitochondria function within the metabolic system. For this, we use model systems, ranging from patient-derived samples, reprogrammed neuroepithelial stems cells to genetically modified animal
-
model systems, ranging from patient-derived samples, reprogrammed neuroepithelial stems cells to genetically modified animal models. We are specifically recruiting for a project studying nuclear genes
-
oscillation experiments provide key insights into the Standard Model. The success of these experiments rely on accurate theoretical models of neutrino interactions with nuclei—the building blocks
-
between nucleons. In this PhD position, you will: Develop models & methods: create and models using effective field theory to analyze and predict the quantum properties of atomic nuclei. Quantify
-
questions remain about the origins of magnetic fields and the mechanisms of magnetic energy release. Addressing these challenges relies on numerical modeling, yet the multi-scale nature of these phenomena