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Field
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LSST. Projects will draw on new and archival observations from optical ground-based (e.g., Zwicky Transient Facility) and satellite (e.g., TESS) observatories, with potential supplementary data from X
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required qualifications must be documented on application materials. Required Qualifications: â¢PhD in Retinal Biology, Immunology, Molecular Biology, or a closely related biomedical field â¢Experience with
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preferred. Strong data analysis skills and ability in programming languages, such as Python, for performing experiments and analyzing data. Knowledge of innovative phase retrieval algorithms is desirable
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heterostructure quantum devices Perform electrical measurements (i.e. magnetotransport) at room and/or cryogenic temperatures Participate in TEM and nano-ARPES characterisation and analysis Collaborate with project
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. Additional Skills (Preferred): Experience with environmental data analysis (R, multivariate statistics). Experience in GIS. Strong scientific writing skills and command of scientific English. Initiative
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, protocol development and laboratory diet planning. Leading on participant recruitment, data collection and analysis. Supervising a graduate level research assistant to support data collection. To support the
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an international multidisciplinary team tasked with developing data-driven decision-support tools to decarbonize mobile mining fleets. Focusing on strip-mining operations, your work will evaluate
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with mammalian cell culture and transfection techniques. Proficiency in standard molecular biology techniques (PCR, cloning, Western blotting, flow cytometry). Experience with data analysis and
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plans to collect data to validate modeling and analysis work. Leads and supports technical proposals for developing new projects. Meet grant goals and deliverables by completing assigned research tasks
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, data generation and analysis, and scientific communication. We welcome applicants with a background in any of the following areas: Cancer immunology or vaccine development; Single cell genomics