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between 2026 and 2029 and includes experimental campaigns, field installations and data collection, data processing, algorithm development and system optimization. Job description Experimental Campaigns and
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, such as heterogeneity of data sources and communication constraints. By leveraging tools from statistical signal processing, machine learning, optimization, and mathematical modeling, the project aims
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process Main ideas of the proposed dissertation topic: The topic of the dissertation is focused on the creation and use of virtual and augmented reality in the production process. The doctoral student
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(photomixing). The candidate will work primarily in the IEMN cleanroom, developing and optimizing micro/nanofabrication process flows for laser device realization. A first research axis will focus
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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | about 1 month ago
. These simulations are run on highly parallel supercomputers on which both the hardware and the software are optimized for the task at hand. While the computing power of each processing unit is still increasing, the
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Generative AI applications continue to expand, optimizing computational efficiency is becoming increasingly critical, particularly for AI in resource-constrained environments or at the edge. To address
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. The techniques used will include Laser Doppler Vibrometry (LDV) and Air Coupled (AC) ultrasound detection. The candidate will design optimized setups for (i) vibration excitation by an impactor or ultrasonic
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of aircraft with fundamentally different operational characteristics. You will simulate mixed-fleet operations in European airspace and analyze how they will impact the future air traffic system, as
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APPLICATION INSTRUCTIONS: CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process . Please do not apply
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: Engineering design & CAE (e.g., structural/thermal/fluids workflows) Chemical and process industries (e.g. optimization, control, surrogate models) Related computational engineering problems where simulation