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metabolic disorders. These approaches entail device design and manufacturing, drug conjugation, neuroscience, and preclinical model experiments. The candidate will work in a dynamic, multidisciplinary
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Description The Laboratory of Applied Nonlinear Dynamics (L.A.N.D) within the Division of Engineering at New York University, Abu Dhabi is seeking to appoint one Postdoctoral Researcher starting
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, or related fields Strong background in game theory, mechanism design, control systems, and/or learning theory Programming proficiency and experience with simulation tools Excellent publication record in peer
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collaborators in material science. The developed technologies will be utilized to develop digital twin and soft robot-assisted simulations in the areas of brain machine interaction, wearable haptics, and
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Post-Doctoral Associate in the Center for Translational Medical Devices (Modeling) - Dr. Rafael Song
establishing collaborations across disciplines. Applicant must have a PhD in an engineering or biomedical-related field. Excellent skills relevant to the computational simulation of medical devices (3D solid
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in the fluid mechanics laboratory for experimental fluid dynamics. SITE is inviting applications for fully-funded postdoctoral research associate positions. SITE is highly interdisciplinary and aims
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of cardiovascular medical devices, non-invasive imaging modalities such as echocardiography, and computational flow simulation software), are required. For consideration, applicants need to submit a cover letter
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establishing collaborations across disciplines. Applicants must have a PhD in an engineering or biomedical-related field. Excellent experimental skills relevant to the project (computational simulations, device
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or Python) is required. Experience with large-scale concrete testing, modeling, and simulation (e.g., COMSOL, Abaqus) is a plus. Familiarity with AC impedance spectroscopy, electro-mechanical impedance, wave
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of safety and robustness, especially in dynamic and uncertain environments. This will involve both theoretical analysis and empirical validation on real-world robotic platforms. Qualifications: Applicants