1,471 evolution-"https:"-"https:"-"https:"-"https:"-"U.S"-"U.S" Postdoctoral positions
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to create a better world and to solve the global challenges formulated in the UN’s 17 Sustainable Development Goals. Hans Christian Ørsted founded DTU in 1829 with a clear mission to develop and create value
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Technopole supports career development through training, mentoring and dedicated learning opportunities. What you'll bring Essential PhD Degree in a relevant scientific field (e.g. genetic epidemiology
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all stages of career development, and has a record of facilitating career advancement for postdocs. At St. Jude, we know what can be achieved when the brightest scientific minds face the fewest barriers
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-culture organoid assays, and in vivo models to decode the mechanisms underlying CAF-driven CRC evolution. Access to single cell RNA sequencing and spatial transcriptomics data from active clinical trials
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necessary. Ideal candidates will be enthusiastically seeking a position that fosters their own scientific growth and development, as well as ability to contribute to both fundamental and translational science
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to delineate and evaluate credible, relevant, and timely approaches for the sustainable development of the livestock sector in Europe. In this delivery-focused role, you will lead a central project output
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Competitive salary and benefits Strong mentoring and career development support Required Qualifications: PhD in Neuroscience, Bioengineering, Electric Engineering, Computer Science, Physics, or a related field
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Address: a.chatzifragkou@reading.ac.uk We welcome applications from both external and internal candidates. As part of the University’s ongoing commitment to professional development, this role can be
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competitive salaries, pension scheme, 30 days’ leave per annum (pro-rata for part-time/fixed-term), a season ticket loan scheme and access to a comprehensive range of personal and professional development
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development work at the Norwegian University of Science and Technology (NTNU) for general criteria for the position. Preferred selection criteria Prior experience with one or more causal inference methods is