39 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" research jobs at University of Texas at Austin
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around standard office conditions. May work around biohazards. May work around chemicals. Required Materials Resume/CV 3 work references with their contact information; at least one reference should be
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their infant/toddlers Maintain up-to-date data entry, Asana task management, and scheduling with families Participate in lab recruitment efforts, weekly data meetings, and assessment room set up/clean up
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references with their contact information; at least one reference should be from a supervisor Letter of interest Important for applicants who are NOT current university employees or contingent workers: You
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of bacteria, isolation of RNA and DNA, PCR, RT-qPCR, reporter assays, protein expression and purification, in vitro mutagenesis, and RNA sequencing and data analysis. Provide instruction, assistance and
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. REQUIRED MATERIALS Resume/CV 3 work references with their contact information; at least one reference should be from a supervisor Letter of interest Important for applicants who are NOT current university
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information; at least one reference should be from a supervisor Letter of interest Important for applicants who are NOT current university employees or contingent workers: You will be prompted to submit your
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Conduct experiments to evaluate membrane ion–ion separation performance. Maintain accurate experimental records and prepare data for publications and presentations. Work effectively in a collaborative, team
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experimental expertise in large-scale fluorescence data collection and analyses. Ideal candidates will have additional experience in flow cytometry, imaging, cell culture, next-generation sequencing, and
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may also have opportunities to analyze and synthesize data, work on instrument development and trouble-shooting, and help set up a new innovation workshop Responsibilities · Experimental design, trouble
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microscopy systems that integrate machine learning, robotic control, and real-time data analysis to achieve autonomous imaging and interpretation of complex materials systems. The Fellow will design and