Sort by
Refine Your Search
-
Listed
-
Employer
- Chalmers University of Technology
- KTH Royal Institute of Technology
- Karolinska Institutet (KI)
- Chalmers tekniska högskola
- Lunds universitet
- Nature Careers
- Umeå University
- University of Lund
- Umeå universitet
- Umeå universitet stipendiemodul
- Linnaeus University
- Luleå University of Technology
- Uppsala universitet
- chalmers tekniska högskola
- Jönköping University
- Karlstad University
- Linköping University
- Linköpings universitet
- Linneuniversitetet
- SciLifeLab
- Sveriges lantbruksuniversitet
- Swedish University of Agricultural Sciences
- Örebro University
- 13 more »
- « less
-
Field
-
the department’s environment and networks, both internally and externally Qualifications A doctorate in mathematics or another field relevant to the assessment criteria below, or possesses an equivalent degree from
-
the laboratory and with collaborators in various networks are essential. Previous post doc experience and a strong publication record are strong merits.] Postdoctoral scholarships may be established for foreign
-
architecture and forest structure analysis. We expect you to develop innovative research and report findings in high-impact scientific journals. We expect you to network and collaborate with remote sensing
-
and flexible work environment, with opportunities for collaboration and networking both within Chalmers and internationally. Chalmers is an employer that actively promotes equal opportunities for women
-
will have the opportunity to collaborate with the strong multi-disciplinary and international professional network between researchers and industry associated with the WASP. The RAI team conducts
-
on relocating and settling in KTH and in Sweden An interdisciplinary, collaborative, and supportive research group Access to an international network facilitating research exchange Read more about what it's like
-
scholarship is full-time for 2 years starting December 1, 2025, or by agreement. The deadline for submitting an application is September 25, 2025. Project description The Internet is enabled by a network of
-
required. Proficiency in statistics and programming are highly meriting, especially in gene regulatory networks, machine learning, and bioinformatics tools. Expertise in CRISPR-based assays, especially
-
network of national and international collaborators. Project overview The aim of this two-year project is to validate and further develop advanced numerical models (originally developed at Chalmers
-
clinical and experimental datasets. You will join a collaborative environment and work closely with research groups specializing in microbiology (Avican Lab), machine learning (Erdem Lab), and network