Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Karolinska Institutet
- Nature Careers
- Swedish University of Agricultural Sciences
- Umeå University
- SciLifeLab
- Chalmers University of Technology
- University of Lund
- Linköping University
- Lunds universitet
- Uppsala universitet
- Karlstad University
- Karolinska Institutet (KI)
- Mälardalen University
- Sveriges lantbruksuniversitet
- 4 more »
- « less
-
Field
-
analysis or computer vision; ability to work both independently and in teams with other researchers and research groups; very good communication skills. Assessment criteria This is a career development
-
systems, or network analysis. Experience with methods for causal inference, or modelling of biological systems is also considered a merit, along with prior work involving large-scale sequencing data such as
-
in Scandinavia. Hyperspectral lidar data analysis and visualization. Administration related to the work duties listed above such as experiment risk assessment analysis and permits for work in protected
-
, or sustainable supply chains. Proven ability to work independently as well as collaboratively within interdisciplinary and cross-sectoral research teams. Quantitative modelling and data analysis skills relevant
-
to work on topics at the intersection of applied probability and analysis. The group around Pierre Nyquist currently consists of three PhD students and is focused on questions in probability theory and
-
and calibration of reports from various sources. Collect and analyse large-scale cross-industry accident data using FRAM (Functional Resonance Analysis Method) within LLMs to identify human-, technical
-
://ngisweden.scilifelab.se/ ). Description of work You will contribute to the development and implementation of novel methods and technologies for genome, transcriptome and epigenome analysis, both in bulk and at single-cell
-
, analysis, as well as writing and presenting results at international and national conferences. The candidate will be expected to be able to work both independently but also collaboratively, which will
-
established microscopy techniques: so-called smart microscopy, and an image analysis method for extracting high-resolution information from microscopy images. The work will include cell culture, organoid
-
processes. A demonstrated interest in data visualization and large-scale data analysis is highly desirable. The ideal candidate will have a keen interest in understanding complex biological systems