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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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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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. 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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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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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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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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multiple modalities to build robust AI systems is an advantage Interdisciplinary Applications: Leveraging LLM / VLMs for interdisciplinary problems, such as: AI-driven scientific discovery, automating
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and species important for food security. Other Qualifying Skills and/or Abilities Conception of a data to model workflow, linking multiple sources of biological and ecological information across scales
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systems Conduct data collection, cleaning, quality assurance, and validation activities Develop models to analyze costs and performance of wastewater technologies in Python or similar format. Participate in
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defined standards for data integration. Integrate data from source systems into a common data layer and integrate with multiple data formats Other duties as assigned. Qualifications: • Bachelor's degree in