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intracranial neurophysiology, wearable sensor data, medical imaging, behavioral task data, and clinical data. The scientist will assist with data collection, data analysis, help with study design, and contribute
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. Position Duration: 12 months, with the possibility of renewal based on performance and funding. Responsibilities: Analyze complex experimental datasets, including time series data from field and sensor-based
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customer requests Read, interpret, and follow blueprints, plans, schematics, and specifications for plumbing and HVAC system controls (pneumatic and electronic), including thermostats, temperature sensors
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development for data interoperability and system integration. Experience working with digital twin platforms, simulation environments, or real-time sensor data. Prior contributions to research software, open
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, dataloggers, sensors, controllers, autosamplers, multiparameter, real-time sensing systems, soil sampling equipment, and programming software. A bachelor's degree in agricultural, environmental, civil
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. This position will report to Dr. Reinhard Laubenbacher in the Laboratory for Systems Medicine. The Laboratory for Systems Medicine strives to improve human health via the development of mathematical algorithms
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and health care operation pathways. The position will participate in designing and developing algorithms to model complex systems, meeting with end-users and key stakeholders to understand operational
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of Pharmacy's Medicinal Chemistry department. Job Description: Be an active member of a scientific group that develops and prototypes novel AI algorithms for impactful drug discovery problems involving sequence
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on Geospatial Analytics in Geomatics, including – but not limited to – advanced Artificial Intelligence/Machine Learning (AI/ML) techniques and scaleable application architectures and algorithms for geospatial
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unravel the complex relationships between land use changes and fire regimes over the past 60 years. The successful candidate will lead efforts to: Develop advanced deep learning algorithms for classifying