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apply cutting-edge techniques in crystal synthesis, characterisation and modelling to study and generate a new understanding of MoSS. These advances will have applications across multiple sectors
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analyses; experience contributing to peer-reviewed publications is desirable. *Proficiency in Python and R, including experience with commonly used analysis frameworks such as Seurat, scverse, and
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proficiency in statistical analysis and programming, with experience using multiple analytic tools (e.g., SAS, R, Python, SPSS) and developing reusable, well-documented code. Strong data science and management
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for injection of chemical and viral vectors, and for implantation of multiple stimulation and recording electrodes. Designs, executes, and analyzes research studies using intracranial EEG data from animals
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research that covers the energy value chain from generation to innovative end-use solutions, motivated by industrialisation and deployment. ERI@N has multiple Interdisciplinary Research Programmes which
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analytic workflows on an active NIH-funded research grant. Applicants should have a bachelor’s degree in an analytic field (data science, AI, or bioinformatics) and demonstrate familiarity with R and Python
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and maintain accurate and detailed reports and records. Ability to prioritize work and handle multiple tasks simultaneously. Openness and willingness to learn new technologies to better perform job
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for integrated sensing and communication (ISAC). Responsibilities: Lead the design, setup, and execution of ISAC channel measurement campaigns across multiple environments, hardware platforms, and frequency bands
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. The Health System encompasses Duke University Hospital, Duke Regional Hospital, Duke Raleigh Hospital, Duke Primary Care, Duke Home and Hospice, Duke Health and Wellness, and multiple affiliations. Dr. Brad
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fields; proficiency in evaluating the effectiveness of learning materials; strong track record of working both independently and collaboratively; be organized, able to lead multiple projects simultaneously