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, the ability to establish priorities and coordinate multiple tasks, and to work independently. ▪ Ability to work effectively as a team member on projects with a diverse group of research staff. ▪ Ability
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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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of the Kelley School of Business invites applicants for multiple tenured/tenure-track positions in Information Systems to begin fall 2026. We welcome applications from individuals with research interests in
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. Design, develop, and test business intelligence outputs (including visualization) to ensure useful and insightful information using software including R, Python, Tableau, and/or Excel to support research
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institutions from academia and industry in multiple research projects. What you will do Development & application of innovative algorithms in the field of machine learning, specifically with focus on decision
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mechanisms that support learning and memory. We use large-scale electrophysiology and imaging to record hundreds to thousands of neurons across multiple brain areas in behaving rodents. To test the role
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Backup solutions for both on-prem data centers and cloud environments. Work on multiple projects as a project leader to research, propose and implement strategies in the migration and consolidation
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to identify markers predictive of perceptual and cognitive impairment in health conditions prevalent in the region, including diabetes, multiple sclerosis, obesity and normal vs. traumatic brain aging
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proficiency in Python (e.g., NumPy, Pandas, scikit-learn, PyTorch, TensorFlow); additional experience with R, MATLAB, or Julia is an advantage. Machine Learning Expertise: Familiarity with supervised
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backup operations on multiple File Systems. Enthusiasm for problem-solving and able to work in a fast-paced environment. Strong interpersonal skills with the ability to communicate effectively. Able