Sort by
Refine Your Search
-
Listed
-
Employer
- Chalmers University of Technology
- KTH Royal Institute of Technology
- University of Lund
- Linköping University
- Lulea University of Technology
- Umeå University
- Luleå tekniska universitet
- Lunds universitet
- Nature Careers
- Swedish University of Agricultural Sciences
- Luleå University of Technology
- Mälardalen University
- Umeå universitet
- Umeå universitet stipendiemodul
- Uppsala universitet
- Blekinge Institute of Technology
- Högskolan Väst
- Institutionen för akvatiska resurser
- Karolinska Institutet (KI)
- Linköpings universitet
- Luleå university of technology
- SciLifeLab
- Sveriges Lantbruksuniversitet
- The Swedish University of Agricultural Sciences (SLU)
- Umeå Plant Science Center
- Örebro University
- 16 more »
- « less
-
Field
-
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
-
position at the School of Business at Örebro University. The position is focused on empirical research on the effects of artificial intelligence (AI) on productivity and labour markets, combining micro-level
-
storage, and optics. From AI modelling of materials and biological complexity to the design of multifunctional micro- and nano systems, we combine theory, fabrication, and innovation to tackle challenges in
-
, and AI-based cybersecurity. The research also encompasses the protection of critical infrastructure, including smart grids and secure software supply chains. At the university's cybersecurity lab
-
). The project combines genomic, epigenomic and 3D chromatin profiling (ATAC-Seq, easySHARE-Seq, ChIP-Seq, Micro-C/Hi-C, BS-Seq/EM-Seq), massively parallel enhancer assays (ATAC-STARR-seq), and comparative
-
, Micro-C/Hi-C, BS-Seq/EM-Seq), massively parallel enhancer assays (ATAC-STARR-seq), and comparative/bayesian/deep-learning analyses, with functional validation in spruce via CRISPR-Cas9 and nanoparticle
-
. The project combines micro-ethnographic, multimodal analyses of writing processes (e.g. keystroke logging, screen capture, stimulated-recall interviews) with corpus-based and genre-oriented analyses
-
of Systems and Control, Department of Electrical Engineering, focused on innovative research in Data-driven Modelling and Optimisation for Fast Charging of Lithium-Ion Batteries. About us At the department
-
, and knowledge of, cryo-electron microscopy (cryo-EM) for structural analysis of proteins and protein complexes, including sample preparation, grid freezing and image acquisition. Documented ability
-
are developed for areas such as verification, intrusion detection, and AI-based cybersecurity. The research also encompasses the protection of critical infrastructure, including smart grids and secure software