210 structures-"https:" "https:" "https:" "https:" "https:" "https:" "Helmholtz Zentrum Geesthacht" Postdoctoral positions at Nature Careers
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Aarhus University is seeking two postdoctoral fellows for the Novo Nordisk Foundation CO2 Researc...
fluxes and quantitative modeling thereof. It also includes the isolation of new alkalophilic and hydrogenotrophic methanogens and acetogens, as well as Knallgas bacteria, the construction and quantitative
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regulatory RNAs. Characterization of RNA devices by structural biology methods such as cryo-electron microscopy (cryo-EM) and tomography (cryo-ET). Testing and screening of RNA devices by functional assays in
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includes the following tasks: Develop computer-aided design software for modular construction of switchable RNA nanostructures. Develop databases for RNA modules for automated building of atomistic models
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. Given the medicinal chemistry–driven nature of this project, we are specifically seeking a candidate with documented experience in lead optimization, including structure–activity relationship (SAR
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our publications here . Our team is at the forefront of bringing autologous cell replacement therapies with CRISPR-edited muscle stem cells towards the clinic (https://www.mdc-berlin.de/news/news/deep
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Postdoctoral position to study Polo kinase and centrosome abnormalities in cancer and other diseases
or HIV accessory proteins, is tightly linked to the development of aneuploidy and cancer. During the past several years, we have been taking cell biological, biochemical, biophysical, and structural
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University is committed to fostering gender equality in research and encourages women to apply. Scientists at risk are encouraged to apply. How to Apply Application website: https://cuni.cz/UKEN-2187.html
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Student or Postdoc (f/m/d) for the project Theory and Algorithms for Structure Determination from Single Molecule X‑Ray Scattering Images Project description Single molecule X‑ray scattering experiments
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. The candidate will lead computational analyses of these datasets, using the laboratory’s suite of existing AI/ML tools to assign structures to unidentified peaks in metabolomic datasets (e.g., https
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.), Physics I (particle, nuclear, astrophysics, etc.), Physics II ( condensed matter, etc.), Chemistry, Biology (cell biology, developmental biology, plant biology, structural biology, microbiology, imaging