Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Chalmers University of Technology
- SciLifeLab
- Umeå University
- Linköping University
- Karolinska Institutet
- Swedish University of Agricultural Sciences
- Lulea University of Technology
- University of Lund
- Mälardalen University
- 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
-
and motivated PhD student to join an interdisciplinary project that combines computational biology, spatial transcriptomics, and tumor modeling to understand how the aggressive brain tumor glioblastoma
-
, Mechanical Engineering, or a closely related field. Strong knowledge of fluid mechanics, CFD, turbulence modelling, and structural mechanics. Understanding of the numerical methods behind CFD and turbulence
-
relevant to both the healthcare sector and society at large. We are looking for a PhD student in Biomedical Engineering Sciences in the field of biological systems modeling and deep learning Your work
-
conversational guides for enhancing visitors’ learning and experiences in public educational environments. The PhD student will focus on addressing the challenge of visual blindness in large language models (LLMs
-
applications towards materials science. Generative machine learning models have emerged as a prominent approach to AI, with impressive performance in many application domains, including materials discovery
-
plasma model (www.amitiscode.com ). By comparing model results with NASA’s MESSENGER and ESA’s/JAXA’s BepiColombo observations, the research aims to deepen our understanding of Mercury’s magnetosphere
-
, flexible and adaptable distributed system of systems. Example of specific problems are: -Information interoperability supported by ontologies. -Unified data models for operational environmental impact -SOA
-
of this WASP-financed project is machine learning, in particular dealing with generative models and instabilities associated with cycles of retraining on mixtures of human and machine-generated data
-
in humans and in animal models. Environmental factors have been reported to predict the risks of developing SUDs too. For instance, epidemiological data have shown that impoverished social environments
-
animal models of brain tumors. Experience in immunology and working with bone marrow samples. Strong communication and collaboration skills. Merits: MSc in Molecular Biology or equivalent. Experience