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models for fracture propagation, reactive transport, and reservoir-scale hydrogen yield prediction. Design and implement data acquisition systems and sensor integration for experimental campaigns. Prepare
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-aided design (CAD) and 3D models (Revit, SolidWorks) for prototype housing units Assist with computational fluid dynamics (CFD) simulations and wave-tank testing in CITEL Support sensor calibration, data
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cleaning lab dishware. Field work ranging from routine sensor maintenance, data downloads, and sensor installation, often requiring long days in the field, carrying heavy objects on uneven terrain, and
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for hypersonic wind tunnels, under the direction of Dr. Samuel Grauer. Job Duties: Include refinement of the neural-implicit LAT (NILAT) algorithm. Hardware design. Deployment at NASA facilities. The role combines
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research in areas of concrete decarbonization, utilization of marginal and nonconventional pozzolans, prediction and mitigation of alkali-silica reaction, and development of sensors for assessing concrete
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engine. Algorithm Development: Contribute to designing, prototyping, and testing algorithmic models for personalized content recommendations. System Evaluation: Support the evaluation of the recommendation
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relationships; medical and community partnerships; and real time ecological momentary assessment of health via data from sensors, accelerometers, and smartphone technology. The successful candidate will join a
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Scientific Machine Learning. The successful candidate will develop and deploy state-of-the-art SciML algorithms in high-performance computational physics codes. We accept applications from all candidates with
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research involving biological data analysis and modeling of biological systems. In particular, they will develop and apply algorithms to construct discrete dynamic models of signal transduction networks
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experience with data annotation and labelling, as well as understanding of (coursework) in machine learning algorithms Schedule: up to 20 hours per week Compensation: The starting rate for this job is $15