Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Karolinska Institutet
- Chalmers University of Technology
- Nature Careers
- Swedish University of Agricultural Sciences
- Umeå University
- SciLifeLab
- University of Lund
- Linköping University
- Lunds universitet
- KTH Royal Institute of Technology
- Uppsala universitet
- Örebro University
- Karlstad University
- Mälardalen University
- Karolinska Institutet (KI)
- Linnaeus University
- Lulea University of Technology
- Sveriges lantbruksuniversitet
- Jönköping University
- Karlstads universitet
- 10 more »
- « less
-
Field
-
data. The overall objective is to understand how climate change (particularly acceleration of snowmelt and increasing evaporative demand) may affect both water availability and forest health in boreal
-
, as well as handling bioinformatics tasks such such as running analysis pipelines, performing quality control, and conducting downstream data analyses. You are expected to actively contribute to method
-
to be awarded, a PhD degree or equivalent in biochemistry, cell or molecular biology, genetics or a related discipline. We are seeking highly motivated applicants with practical experience in
-
these may be taken into consideration. A suitable background for this position is a PhD in materials science, nanoscience, applied physics, or a related field. Cleanroom fabrication experience is a merit
-
chemistry and technology to molecular- and data- driven nutrition. In food science, we focus primarily on marine and plant-based food systems with the goal to promote high food quality, minimize losses
-
related to the work duties listed above Qualification requirements Appointment to a post-doctoral position requires that the applicant has a PhD, or an international degree deemed equivalent to a PhD
-
the experiments and ~18 years from the long-term monitoring site. These data are complemented by past and ongoing collections of plant ecophysiology and soil biochemistry. This postdoc position will focus largely
-
-related activities at the department (20%), including supervision of MSc and PhD students Possibilities for international collaboration and research exchanges Access to pedagogical training and development
-
data and clinical information. Applicants must hold (or be close to completing) a PhD in a relevant field and have expertise in modern computer vision and AI research. Experience with biomedical data
-
develop analysis pipelines to analyze high dimensional spatial and single-cell data of cancer and immune tissue from patients and pre-clinical studies and should have a strong background in both