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Position Title: Postdoctoral Research Associate - Plant Molecular and Cell Biology Appointment Type: Post Doc/Trainee Job Description: Summary of Duties and Responsibilities: Conduct experimental
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determined by the number of years post PhD, can be found at https://postdoc.hms.harvard.edu/guidelines Minimum Number of References Required 1 Maximum Number of References Allowed 4 Keywords immunology, cell
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approaches, the project will assess plecstatin-induced changes in cytoskeletal organization, cell mechanics, and tumor cell behavior. These analyses will be complemented by quantitative proteomics to identify
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in cancer metastasis. Cell Mol Life Sci. 2019 76:3765–3781. APPLY HERE: https://www.img.cas.cz/phd Where to apply Website https://www.img.cas.cz/phd Requirements Additional Information Work Location(s
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applicant will be primarily tasked with performing TurboID-based proximity proteomics on various human cancer cell lines. Additional tasks include validation assays in human cancer tissue samples and cell
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to cover private mobility-related costs (e.g., relocation, travel) family allowance: a monthly allowance for researchers with family obligations Research topics: https://www.eu4greenfielddata.eu/phd
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Stem Cell Transplant (SCT). This 12-month structured program begins with a 4 month "Boot Camp" focused on building foundational clinical knowledge and skills across Hem/Onc and SCT services in
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and molecular mechanisms underlying phenotypic variability in quiescent cell populations and their impact on adaptation, antifungal resistance, and population dynamics. The successful candidate will
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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | about 1 month ago
services. The work is conducted in continuity with the PRIMO research project (https://primoproject.github.io/index_fr.html ), which investigates how digital mobility-support tools shape mobility practices
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Network. https://www.eu4greenfielddata.eu/ ***Double Degree PhD Scholarship in Computer Science Opportunity: "Optimization-simulation coupling for the GHG emission estimation based supervision and