31 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Dr" PhD positions at Nature Careers
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biology as well as in physiology, biophysics, epi /genetics, (bio)informatics, and multimodal data analysis. Over the past decade, our institute has pioneered exome and genome sequencing in order to map
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highlight the potential of microbiome intervention in immuno-oncology. In our team, we actively integrate translational data, functional assays and preclinical models, to understand and overcome mechanisms
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located at Frederiksborgvej 399, DK 4000 Roskilde, approximately 40 km west from Copenhagen. Contact information For further information, please contact: Professor, Nikolai Friberg, +45 31250820, niko
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collective behaviour Statistical and computational physics for complex data Astrophysical and space plasmas Space environment, space weather and technological impacts Magnetic confinement fusion energy Sea ice
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various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly
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biodiversity and functioning (Deadwood2soils) Nitrogen fixation in mycorrhiza and forest soils Linking forest genetics and with operational harvesting data Forest biodiversity – methods for inventory and
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, including quality control, maintenance and troubleshooting on an Aria Fusion cell sorter Sample preparation, cell sorting and data analysis Generation of single cell libraries with 10X Genomics, Singleron and
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will be working primarily with air quality measurements and analysis of air quality data. The position will focus on indoor and outdoor air quality in relation to children and health. You will be
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or colloidal assembly is an advantage) Evidence of scientific writing and publications is a plus. Excellent communication and data presentation skills Fluent in English (German is an advantage) Motivated
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, integrative biology approach that utilizes human pluripotent stem cell based model systems, high throughput functional genomic screening and big data based machine learning, bridging the scales from genetics