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University of California, Los Angeles | Los Angeles, California | United States | about 11 hours ago
candidate permissions at the appropriate time in the search process Apply link: https://recruit.apo.ucla.edu/JPF10241 Help contact: endochiefsearch@mednet.ucla.edu About UCLA As a University employee, you
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world with increasing digitalization and medical needs. Our research integrates materials chemistry, biological processes, physical analysis, process engineering and data science. We collaborate with
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imaging Analyze complex datasets (kinetics, FRET traces, colocalization) Initiate and drive new subprojects Mentor PhD students and collaborate closely within the group and with partners abroad Present
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to diagnose and treat them. The Institute is composed of the following four departments: The Department of Infectious Diseases The Department of Microbiology and Immunology The Department of Medical
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-documents/400-series/0486.1-BOrder-a/@@images/file We are not accepting applications for this job through AcademicJobsOnline.Org right now. Please apply at https://bnl.wd1.myworkdayjobs.com/Externa/job/Upton
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in simpler (2D culture) or more complex (animal) models. The imaging data will finally be transformed into quantitative measurements to be analyzed and modeled to understand these processes
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This research involves mouse studies (surgery and adoptive cell transfer), wet-lab techniques (cell culture, flow cytometry and imaging), and analysis of sequencing and spatial data. The candidate is expected
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the genetic material, and how it interacts with various kinds of micro-organisms. Using this knowledge, we try to elucidate the causes of diseases, and find new ways to diagnose and treat them. The Institute is
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for the Recruitment of Researchers . The recruitment process consists of an initial written application. The Application form has to be downloaded from the eRaDicate website (https://www.eradicate-project.eu
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activities: developing and testing image processing algorithms and monitoring methodologies for photovoltaic panels; evaluating the performance and efficiency of photovoltaic systems under controlled and real