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participating in projects that collect and utilize agronomic data from forages and crop rotations, and (3) writing scientific publications and grant applications. Qualifications: Required: A PhD degree in a
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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
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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
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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
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for the position: PhD in a biomedical field or in image analysis. Extensive experience in confocal microscopy, live-cell microscopy, and analysis of live-cell microscopy data. Additional qualifications
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-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
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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
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, 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
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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
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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