Sort by
Refine Your Search
-
Employer
- University of Lund
- Chalmers University of Technology
- Nature Careers
- SciLifeLab
- Swedish University of Agricultural Sciences
- Linköping University
- Umeå University
- Linnaeus University
- Mälardalen University
- Jönköping University
- Lulea University of Technology
- University of Borås
- Örebro University
- 3 more »
- « less
-
Field
-
-year fellowship in Artificial Intelligence (AI) driven plant genomics. The project focuses on generating new AI-driven method for identification, annotation and functional investigation of long non
-
(AIMLeNS) lab is a tight-knit team of computer scientists, chemists, physicists, and mathematicians working collaboratively. Our focus is on developing practical methods that blend traditional disciplines
-
must have good knowledge of English, documented ability to analyze large datasets, using the methods mentioned below. Documented experience of scientific publishing with co-author groups. Assessment
-
? With data-driven methods, new opportunities arise to understand ecosystems as complex, dynamic networks. This project aims to analyse the world’s most extensive eDNA database, consisting of weekly
-
nanodomains (e.g. Spratt, Dias et al., Nature Nanotechnology, 2024; Ambrosetti et al., Nature Nanotechnology, 2021; Shaw, Lundin et al., Nature Methods, 2014). Successful candidates will have the opportunity
-
and written English Strong academic record with publications or clear potential for publishing in top-tier journals Advanced knowledge of one or more qualitative and/or quantitative research methods
-
on understanding the link between mechanics and biology in the musculoskeletal system, including related pathologies and repair of skeletal tissues. Experimental tissue characterisation methods, imaging and
-
control, management, and archival storage; analyzing large-scale datasets, developing code, and creating novel tools and methods for advanced data analysis; supporting ongoing research activities
-
methods, technologies, and materials to reduce reliance on unsustainable practices and fossil fuel-based compounds as a response to societal requests for green alternatives that maintain high performance
-
. Importance will also be placed on experience of qualitative methods for data collection and analysis. Given the character of the research project importance will also be placed on good knowledge of both