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Field
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cytometry, MACS and FACS, and confocal/immunofluorescence imaging of normal and leukemic hematopoietic cells and tissues. • Prepare samples and libraries for single-cell RNA-seq, spatial transcriptomics, and
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knowledge in systems and/or cognitive neuroscience Knowledge of brain imaging analysis methods Knowledge of multivariate statistics and/or digital signal processing Fluency with the Unix operating system and
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. Procedure Reference: IT137-26-269 I - Legal admission requirements I.I - Grant Recipients: Holders of a doctoral degree in the scientific area of Psychology, Cognitive Neuroscience or Biomedical engineering
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exploration of the molecular logic of allelic exclusion using the paradigm of olfactory receptor gene choice. A central goal of the project is to profile chromatin and transcription in subpopulations
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structural data. Develop workflows for time-resolved crystallography data processing. Integrate molecular dynamics with AI/ML methods. Benchmark protein foundation model performance and integrate them with
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professional development and work with the technology transfer office to identify potential inventions and understand IP processes. Collaborate in preclinical and translational research projects involving murine
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completion) in sustainability, environmental science, engineering or a related field demonstrated experience conducting original research or scholarly activity demonstrated experience in supply chain modelling
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Engineering, Data Science. Knowledge: Deep expertise in electron microscopy, particularly STEM and EELS methods. Proven experience in designing and conducting in-situ TEM experiments. Familiarity with energy
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 11 hours ago
of Engineering (Col) Work Unit Mechanical Engineering and Engineering Science Work Location Duke Vacancy Open To All Candidates Position Designation Post Doc Employment Type Temporary - Full-time Hours per week 40
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Familiarity with brain imaging analysis acquisition Knowledge of multivariate statistics and/or digital signal processing Proficiency in Python. Parallel computing processing experience is highly appreciated