314 structures "https:" "https:" "https:" "https:" "https:" "Robert Gordon University" research jobs at Nature Careers
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range from cell biological over biochemical to molecular biology and bioinformatics approaches. Collaborations with structural biologists are possible. Your profile Applicants should hold a PhD in
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Research Assistant in Physical Computing and Wearables at the Department of Computer Science, Aar...
of Professional Associations. Further information on qualification requirements and job content may be found in the Memorandum on Job Structure for Academic Staff at Danish Universities . Salary depends
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, clinical, structural bioinformatics, other biomedical data. It should be outlined in the CV Demonstrated skills and knowledge in omics data analysis, biostatistics, machine learning, pathway and network
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as possible. Job description The project aims at determining in situ structures of axo-axonic synapses at the axon initial segment (AIS) of neurons through cryo-electron tomography (cryo-ET), and
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challenges during integration in the AIT construction hall and later at the telescope site. You work closely with local scientists to guarantee that the developed software meets or exceeds ESO’s scientific and
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with regard to numerical simulation of the impact of detonation and deflagration events on infrastructure and modelling of structural behaviour under highly dynamic loads Provision of scientific and
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-resolved fluorescence methods for studying protein-protein interactions and protein structure-function relationships in live cells. This project will focus on elucidating the structure-function mechanisms
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. Excellent written communication and report writing skills. Desirable Knowledge, Skills and Experience: Demonstrated expertise in protein structural modelling. Demonstrated expertise in enzyme structure-guided
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of water and sediment samples from glacier fronts in Greenland. Analysis and interpretation of vibroseismic data from the interior of Greenland with a focus on water and sediment thicknesses. Construction
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to predict bacterial growth from protein sequence and compound molecular structure. Applying generative and predictive models to propose novel compounds optimized for broad-spectrum activity against diverse