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. Applicants should have a PhD degree with research experience related to neuroscience in learning and memory, or in sleep related research. Experience in EE/EMG analysis in strongly preferred. Experience in
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reviews, data processing, and data analysis, 3) contributing to CASER research projects, including data harmonization, statistical analysis, and report writing, and 4) assisting in organizing CASER’s
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expertise in protein biochemistry and in vitro characterization methods Experience with quantitative microscopy and image analysis Demonstrated ability to design and execute mechanistic studies Proficiency in
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. Requirements: PhD degree in statistics or a related field from a reputable university. Solid knowledge in hypothesis testing and high-dimensional analysis. Strong proficiency in the R programming language
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About the role This post offers an excellent career development opportunity for a Researcher with significant experience in quantitative analysis, epidemiology, and health data science, and an
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in a newly outfitted robotics facility at the University of Surrey, with access to the Environmental Flow Laboratory wind tunnel facilities, gas analysis laboratories, and outdoor test spaces
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include: The analysis of experimental data acquired from both direct and indirect measurements Dissemination of results at conferences and through publication in peer-reviewed journals Participation in
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, MATLAB and R • Experience in spatial analysis • Experience in using large-scale data sets • Have strong publication records • Excellent scientific writing and communication skills More
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or related areas. Title: Modelling and simulation of the electricity transmission grid for long-term energy scenarios in the European context EU EnVis-2060: analysis of operational feasibility and
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cybersecurity, digital forensics, vulnerability assessment, malware analysis, privacy technologies, and AI security AI and Emerging Fields: Smart healthcare, IIoT, computational fintech, robot-human interaction