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Technician will be responsible for conducting and executing research experiments following the instructions given by the laboratory team. Rutgers Cancer Institute leverages numerous experimental approaches
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missions to strengthen current models and provide comparative insights that enhance research conclusions from Hope observations. - Develop Machine Learning methods and run numerical simulations on NYUAD’s
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and numerical methods for modeling and optimization: MatLab, Python, etc. Office tools: Access and VBA programming. Free software tools. Specific Requirements Knowledge: Kinetics and thermodynamics
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on extending methods for detecting the pose of an object (possibly occluded, even if only partially) held by a person to 360-degree robot vision, in line with mesh detection and biomechanical variables
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, the use of the finite element method (FEM) to predict deformations and residual stresses stands out as a particularly promising approach, as it enables the anticipation of defects and the optimization
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focused on using advanced numerical methods to explore low energy dynamics in strongly interacting quantum spin systems. The candidate will develop and implement advanced algorithms to investigate
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department uses a variety of tools and communication methods to obtain authorization and must be able to determine the most appropriate method of contact. This includes but is not limited to electronic
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to evaluate emerging instrumentation and software and translate them into robust, scalable workflows. Alongside method development, the Zamboni Lab is tightly embedded in numerous collaborations with academic
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. The candidate should be willing to learn basic physical and numerical modeling methods. The successful candidate will demonstrate commitment to the timely completion of deliverables and strong potential to work
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computational engineering, mathematics, computer science, physics, engineering or a related field Strong background in numerical methods and machine learning Proficiency in at least one programming language