Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- University of Lund
- Linnaeus University
- Chalmers University of Technology
- Linköping University
- SciLifeLab
- Lulea University of Technology
- Blekinge Institute of Technology
- Mälardalen University
- Umeå University
- University of Borås
- Nature Careers
- Swedish University of Agricultural Sciences
- Jönköping University
- KTH
- Uppsala University
- 5 more »
- « less
-
Field
-
, distributed across 15 units at Uppsala University and the Swedish University of Agricultural Sciences (SLU). The central hub of this network is Navet, located at the Biomedical Centre (BMC), which serves as a
-
specialise in nanoparticles formulated from lipids. We characterise the composition and distribution of lipid molecules in both synthetic and naturally occurring nanoparticles (including extracellular vesicles
-
Gevorgyan (ashot.gevorgyan@lnu.se ) Human Resources Consultant: Stina Andersson (stina.andersson@lnu.se ) Linnaeus University has the ambition to utilize the qualities that an even gender distribution and
-
these transcripts into protein sequence databases. Guide the development of proteogenomics through implementation of novel algorithms and computational analysis infrastructure Development of tools to support clinical
-
computational algorithms to enable regenerative cell therapies. Now, we are seeking a highly driven postdoctoral researcher to contribute to our ambitious mission. Division The Division of Biomolecular and
-
interdisciplinary research. Systems development may include, for instance: advanced materials, surfaces and fabrication; distributed sensors and actuators; quantum and photonic systems and interactions
-
to utilize the qualities that an even gender distribution and diversity brings to the organization. Please apply by clicking on the Apply button at the bottom of the ad. All documents must be attached
-
with machine learning and generative AI algorithms, with working knowledge of deep learning frameworks such as PyTorch or TensorFlow is considered a strong advantage. • Extensive experience in multi
-
and development of algorithms, methods, and theories aimed at better understanding the properties and underlying mechanisms within statistical and deep learning-based systems also in the presence
-
theoretical research, algorithm design, and the development of software tools that demonstrate the applicability of the new methods. Research environment The positions are hosted by the Department