215 structures "https:" "https:" "https:" "ESPCI Paris PSL" Postdoctoral positions at Nature Careers
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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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record in peer-reviewed international journals Experience with remote sensing, LiDAR, and GIS applications Programming skills in Python Background in LiDAR point-cloud analysis and vegetation structure
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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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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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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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of the national public health, during the construction of a core base for building a national medical science and technology innovation system, we focus on the research and development (R&D) of innovative vaccines
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: https://obgyn.uchicago.edu/research/griffith-laboratory Required Qualifications: Qualifications needed for this position include a PhD in clinical psychology or a related field, such as psychology
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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
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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