Sort by
Refine Your Search
-
Listed
-
Employer
- Chalmers University of Technology
- Karolinska Institutet (KI)
- KTH Royal Institute of Technology
- Nature Careers
- Linköping University
- Chalmers tekniska högskola
- Lunds universitet
- Umeå universitet stipendiemodul
- Linnaeus University
- Lulea University of Technology
- Umeå University
- University of Gothenburg
- University of Lund
- Chalmers te
- Jönköping University
- Linneuniversitetet
- Luleå University of Technology
- Mälardalen University
- Mälardalens universitet
- SciLifeLab
- Sveriges lantbruksuniversitet
- Swedish University of Agricultural Sciences
- 12 more »
- « less
-
Field
-
Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Job description We are looking for a postdoctoral fellow to develop and
-
for academia and economy as both science and industry make increasing use of data-intensive technologies. Field of subject for the position: Computer Science with specialization in Information Visualization and
-
cytometry and RT-qPCR. The computational work includes, for example, the analysis of omics data and computational modeling. Experience in cell culture, molecular cloning, and bioinformatics analyses is
-
leading Swedish industry partners in 6G and cloud computing, gaining unique opportunities to bridge academic research with real-world applications. Research environment The Optical Networks (ON) Unit
-
mathematics, ecology, history, climatic and medical sciences in collaboration across multiple institutes. An integral part of the project is to develop process-based eco-epidemiological models considering
-
ecosystem functioning. The postdoctoral project will focus on analyzing and modeling tree architecture in relation to forest vitality and stress predisposition. The work will combine 3D structural data (from
-
Hospital, and with experts in mathematical modelling at the translational research hub IceLab , Umeå University. Work responsibilities As a postdoc in our team, you will be an integral part of a dynamic and
-
Programme? Not funded by a EU programme Reference Number 1114--1-13544 Is the Job related to staff position within a Research Infrastructure? No Offer Description Department of Forest Resource Management We
-
. Eran Elhaik to design machine-learning models that unlock the potential of genomics for forensic investigations and historical reconstructions. Work duties We aim to develop machine learning methods
-
design. One of our group's goals is to create efficient surrogate models that reduce the computational cost of MD simulations by several orders of magnitude. Notable examples of our work in this area