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Faculty of Science and Technology
Research
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Research groups
Research groups
Embedded System Group (ESL)
The research environment covers activities within electrical and system engineering, applied physics, and biomedical engineering.
Research area:
Electrical, electronic and system engineering
,
Physical sciences
Energy Efficiency
The goal for this group is increasingly effective use of our limited resources required for sustainable development, both locally and globally.
Research area:
Building technology
,
Energy engineering
Eric Libby lab
We are interested in how simple organisms evolve into complex ones.
Research area:
Infection biology
,
Mathematics
,
Molecular biology and genetics
Erik Björn lab
We study chemical and biological processes of trace metals, from molecular to ecosystem scale.
Research area:
Chemical sciences
,
Environmental chemistry
,
Marine science
Erik Chorell lab
Disrupting and studying complex biological processes to investigate their therapeutic potential.
Research area:
Cancer
,
Chemical sciences
Extremal and probabilistic combinatorics
Research area:
Mathematics
Felipe Cava lab
Bacterial cell wall composition and its contribution to long-standing and emerging infectious diseases.
Research area:
Infection biology
Formal Methods for Trustworthy Hybrid Intelligence
Hybrid intelligence emerges from the collaboration between humans and intelligent systems, with the aim of enabling humans to achieve their goals...
Research area:
Computing science
Foundations of Language Processing
Read more about the research group Foundations of Language Processing.
Research area:
Computing science
Francesca Aguilo
RNA-based gene regulation of cell fate and breast cancer.
Research area:
Cancer
Fredrik Almqvist Lab
Method development and synthesis of molecules used for treatment of infectious and neurodegenerative diseases.
Research area:
Chemical sciences
,
Infection biology
Functional analysis and operator theory
Functional Data Analysis and Spatial Statistics
The research group is led by Prof. Sara Sjöstedt de Luna at the Department of Mathematics and Mathematical Statistics.
Research area:
Mathematics
,
Statistics
Geometric Deep Learning
Our research in geometric deep learning is concerned with investigating the role of symmetries and other geometric structures in the context of dee...
Research area:
Mathematics
,
Statistics
Geometry
More about our research in Geometry
Research area:
Mathematics
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Latest update:
2022-11-03