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Mobasher. It involves a diverse range of activities including: structural and geotechnical modeling, machine-learning model development, structural sensing and health monitoring, conducting physical
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). Reactive transport modeling (COMSOL/MATLAB/Python). Micropollutant analysis (LC-MS, GC-MS). Knowledge of wastewater treatment and effluent characterization (COD, BOD, TSS). Technical Skills: Proficiency in
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financial goals through enrollment data analysis, predictive modeling, and decision support. This role combines deep analytical expertise with business acumen to transform complex data into actionable
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A post-doctoral Research Associate position in Neurocomputation is available to work with Prof Zoe Kourtzi at the Adaptive Brain Lab, Univ of Cambridge, UK (http://www.abg.psychol.cam.ac.uk ). Are
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sensor systems or mobile/web apps Document experiments, model architectures, training procedures, and results Minimum Qualifications Full Employment Eligibility Requirements can be found here: https
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, the Engineer will architect, engineer, and deploy AI pipelines that push technological boundaries for our clients. The Engineer will tackle complex challenges at the intersection of Large Language Models
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& Modeling: Develop and simulate numerical models of damage and failure in aerospace structures, including FEA for metamaterials. Materials Design & Characterization: Study and optimize metamaterials and
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knowledge with data-driven methods. Physical knowledge includes, among others, kinematics and the dynamics of the robot, terrain interaction and contact models, and environmental physics, such as wind. The
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battery management systems, lithium-ion battery modeling, and state-of-health estimation Basic knowledge about battery chemistries and related electrochemical processes Experience with IoT hardware and
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: Experience in protein or biologics formulation Knowledge of SAXS, light scattering, or other solution-state biophysical characterization methods Familiarity with AI-driven modeling tools (e.g., AlphaFold