130 data "https:" "https:" "https:" "https:" "Inserm" PhD positions at Nature Careers
Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
, and cell biology as well as in physiology, biophysics, epi /genetics, (bio)informatics, and multimodal data analysis. The project focuses on the comprehensive characterisation of the zygotene cilium and
-
foundation of existing data to characterise the degradation of aggregated proteins or organelles. The PhD candidate working on this project will utilize state-of-the-art methodology and combine in vitro
-
to the development of new research initiatives Contribute to data analysis and data management Contribute to national and internationals reports, online data dashboards, and peer-reviewed research publications (as
-
the Quantum Optics, Quantum Nanophysics & Quantum Information group at the Faculty of Physics, and a member of the Vienna Center for Quantum Science and Technology (VCQ) - one of the largest quantum hubs in
-
. To this end, we combine interdisciplinary research in molecular, structural, and cell biology as well as in physiology, biophysics, epi /genetics, (bio)informatics, and multimodal data analysis. The Schlatt
-
diseases. You will contribute to the acquisition of multi-omics data from cryopreserved patient-derived samples, working in close collaboration with clinicians to assess patient outcomes. You will present
-
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
-
basic cell biology, e.g. CRC1450, TRR332 and SFB1348. RESPONSIBILITIES: Experimental investigations including cell biological, immunological, biochemical and microscopy methods Documentation of data and
-
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
-
will be developed. Finally, the research will develop efficient algorithms and test them on realistic networks and using real data from energy and public transport operators. The Doctoral student is also