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Pneumatic Tires, Structure-Process-Properties Relationships. As part of it, we are currently looking for a postdoc on machine learning for road characterization. How will you contribute? Do you have proven
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Electron Microscopy (TEM) Is Your profile described below? Are you our future colleague? Apply now! Education · PhD in polymer/rubber chemistry and/or polymer process engineering Experience and skills
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-lab.com/ ) • Focus: Structure/function of chromatin-associated complexes using cryo-EM and biochemical approaches • Requirements: PhD in structural biology/protein biochemistry; expertise in protein complex
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evaluation process etc please visit: ambercofund.eu Qualification requirements Minimum requirements are: candidate needs to have a maximum of 8 years after a doctoral degree (PhD), as required by the project
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. Description We are looking for a postdoctoral computational biologist to decipher the genomic regulatory code controlling gene expression in plants. Within the ERC-funded multiCODE project, we aim to unravel
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of reports, publication of results Your qualifications: Completed university studies (M.Sc./ M.Eng.) and PhD in polymer science or a comparable field of study Relevant experience in thermal analysis and fire
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A postdoc position in the Torben Heick Jensen lab, Aarhus University, Denmark: Mammalian Nuclear ...
to molecular biology and bioinformatics approaches. Collaboration with structural biologists is possible. Your profile Applicants should hold a PhD in Molecular Biology, Biochemistry, Cell Biology, Genomics
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candidate who just completed the PhD) and innovative Postdocs/Laser Scientists to join the IGNYTe project which is funded by the German Ministry of Research, Technology and Space in the scope of the Fusion
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Cancer Research Foundation ● Review more on The Sarat Chandarlapaty Lab Key Requirements: ● PhD in cancer biology, genetics, cell biology, or pharmacology. ● Track record of publication in areas of cancer
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on Clostridium carboxidivorans and Clostridium ljungdahlii, for which we have already established robust genetic and process engineering platforms. The following publications illustrate the potential and direction