Sort by
Refine Your Search
-
Listed
-
Program
-
Employer
- Chalmers University of Technology
- University of Lund
- Lunds universitet
- SciLifeLab
- Swedish University of Agricultural Sciences
- Nature Careers
- Karolinska Institutet (KI)
- KTH Royal Institute of Technology
- Linköping University
- Sveriges Lantbruksuniversitet
- Uppsala universitet
- Umeå universitet stipendiemodul
- Blekinge Institute of Technology
- Luleå University of Technology
- Umeå University
- Jönköping University
- Karlstad University
- Lulea University of Technology
- Stockholms universitet
- Umeå universitet
- Örebro University
- Faculty of Technology and Society
- Göteborgs universitet, Department of Marine Sciences
- Högskolan Väst
- IFM, Linköping University
- IFM/Linköping University
- Institutionen för akvatiska resurser
- Linnaeus University
- Lund University
- Mälardalen University
- SLU
- The Swedish University of Agricultural Sciences (SLU)
- Umeå Plant Science Center
- 23 more »
- « less
-
Field
-
quantitative and population genetics; good knowledge and practical skills in genetic and genomic analysis (both, marker data and sequence data), phenology and plant pathology; a sound understanding of
-
cell or intracranial electrophysiological recordings, prior publications using electrophysiological recordings, advanced analysis skills, or previous experience with assessing behavioral and neural
-
(e.g. odours or visual landmarks). How these cues are sensed and integrated is still poorly understood, especially in nocturnal migratory insects. Work duties The main duties involved in a post-doctoral
-
separate CTCs from blood. This will include, cell culturing, microfluidic and flow cytometer cell sorting and operation of mass spectrometers (MS), as well as multi-omics data integration and analysis
-
also includes analysis of polymers, monomers, and reaction products using relevant chemical and biophysical methods. The successful candidate is expected to independently drive research projects, analyze
-
visualization and scientific communication Extensive knowledge of relevant machine learning and AI techniques Exceptional collaborative abilities Self-motivated individual with ability to work independently
-
the planning, implementation and development of behavioural studies. This includes field-based research in commercial and experimental farming environments, analysis of complex behavioural data, and leading
-
visualization and scientific communication Extensive knowledge of relevant machine learning and AI techniques Exceptional collaborative abilities Self-motivated individual with ability to work independently
-
. The work may include experimental research in laboratory and industrial settings, system development, analysis of production flows, and co-creation of knowledge together with company partners. As MARC is a
-
Mathematics » Applied mathematics Mathematics » Mathematical analysis Physics » Other Researcher Profile Recognised Researcher (R2) Application Deadline 17 May 2026 - 21:59 (UTC) Country Sweden Type of Contract