210 structures-"https:" "https:" "https:" "https:" "https:" "Imperial College London" Postdoctoral positions at Nature Careers
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Requirements: * A brief, one-page description of project; we encourage a graphical abstract *Cover Letter * CV * Brief letter of support from Princeton faculty mentor (one page) Apply at https
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cases of next generation wireless communications systems. For details, you may refer to the following: https://wwwen.uni.lu/snt/research/sigcom We're looking for people driven by excellence, excited about
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cases of next generation wireless communications systems. For details, you may refer to the following: https://wwwen.uni.lu/snt/research/sigcom We're looking for people driven by excellence, excited about
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vitae, a brief cover letter outlining their research experience and interests, and contact information for three references via email to: sgong@engr.wisc.edu Research Group Website: https
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transcriptomic data. • Detect and interpret structural variation from Nanopore/PacBio sequencing. • Build scalable, reproducible pipelines for large genome collections and public databases. • Collaborate closely
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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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single cells make decisions during differentiation, in particular during development. Building on Bonsai, a Bayesian framework that leverages tree structures for distortion-free exploratory analysis
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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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. 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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. Successful delivery of these research objectives will require expertise in in silico protein analysis and structural modelling, mass spectrometry–based proteomic analyses (e.g., LC-MS, LC–MS/MS), nitrogen