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the Pereira laboratory: https://www.lsi.umich.edu/science/our-labs/filipa-pereira-lab Responsibilities* Experimental responsibilities will include: Perform genome engineering of Streptomyces strains
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The University of British Columbia (UBC) | Vancouver UBC, British Columbia | Canada | about 1 month ago
ultimately reversed or rebuilt using bioengineering and synthetic biology approaches. The successful candidate will: Investigate mechanisms of T-cell development, aging, and thymic involution using in vitro
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on track to achieve their career goals. The candidate should have a PhD and/or MD in bioengineering, immunology, cellular/molecular biology, cancer biology, or related field, and experience in wet lab
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second in the UK for research power and first in England. The UCL Hawkes Institute (https://www.ucl.ac.uk/hawkes-institute/ ) combines methodological researchers from the Departments of CS and Medical
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Qualifications Ph.D. or M.D./Ph.D. in areas such as bioengineering, biochemistry, cell or computational biology or related fields Additional Qualifications CV Research summary of PhD work Cover letter describing
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the following conditions: Scientific Area: Biochemistry, Applied Biology, Biotechnology, Chemical and Biological Engineering; Bioengineering and Biological Sciences. Recipient category: Candidates holding a
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for boosting green and digital innovations”, Project ID 101186592, https://cordis.europa.eu/project/id/101186592 , running between February 2025 and January 2030 and funded by European Research Executive Agency
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legislation. Procedure Reference: IT137-26-10 I - Legal admission requirements I.I - Grant Recipients: Master’s in Biology, Biotechnology, Bioengineering, Biochemistry, Pharmaceutical Sciences, Neurosciences
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contributions that add to your bottom line. Benefits statement to include in all benefits-eligible positions. See Eligibility Matrix. Benefits: https://www.cu.edu/employee-services/benefits Total Compensation
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Engineering, Bioengineering, and related fields. 4. Other Requirements: Experience in the use of artificial intelligence tools, computational modeling, and advanced imaging for the development of biomaterials