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Field
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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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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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monitoring involves the participant completing questionnaires and a speech task on a purpose-built smartphone Active App and completing cognitive tasks on a home computer. Passive monitoring involves data
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data without compromising individual privacy. Using unique, nationwide Danish health registry data, you will work with spatial data, such as disease maps and medical imaging. Such data are highly
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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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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
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, laboratory measurements, data analysis, prototype development, publications, and proposal development, while working collaboratively with faculty, students, and external research partners. In accordance with
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the platform by embedding/developing additional tools for data processing and analysis. The starting point for the developments will be our EasyNMR platform (see easynmr.pastis.dk ). Current application areas
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 23 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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-generation optical microscopy and spectroscopy methods to uncover the physical principles governing immune-cell function. The laboratory brings together technology development at the Rosalind Franklin