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Doctoral student in development of nanowire devices for photonic neuromorphic computing (PA2026/472)
dynamic photonic sensor array with on-chip neuromorphic intelligence. This is enabled by significantly advancing the state of the art in optoelectronic algorithm-hardware co-design and multi-scale
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Studies, Faculty of Environmental Studies [Work content and job description] 1. Area of specialization: Research fields that incorporate perspectives of hardware development, such as satellites, sensors
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and distributer of wound care products. The aim of the project is to functionalize existing graphene-based field effect transistor sensors with biological receptors for infection biomarkers, and
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to multidisciplinary projects on heat, environment, and human health. This position is embedded within Project HEATS (link: https://www.linkedin.com/company/project-heats/about ) and related initiatives which combine
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sensors, or similar instrumentation) involving microphones and accelerometers, or multi-channel data acquisition systems will be advantageous. Knowledge of building acoustics, structure-borne noise
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over SEK 2.3 billion. We have more than 1,800 employees and nearly 21,600 students. We are looking for a Postdoctoral Researcher in Robotics and Artificial Intelligence (RAI) (https
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over SEK 2.3 billion. We have more than 1,800 employees and nearly 21,600 students. We are looking for a Postdoctoral Researcher in Robotics and Artificial Intelligence (RAI) (https
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). Additionally, they should showcase experience in prototyping, debugging, and testing integrated hardware systems. Experience in integrating camera modules and sensors (I2C, SPI, UART) is advantageous, as is
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DC-26094– POSTDOC/DATA SCIENTIST – AI-DRIVEN CLIMATE RISK MODELLING AND EARLY WARNING SYSTEMS FOR...
: https://www.list.lu/ How will you contribute? You will be part of LIST’s Remote sensing and natural resources modelling group Embedded in the Environmental Sensing and Modelling (ENVISION) unit
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on a Conventional Imaging System for In Vitro Characterization of Contrast Agents. Sensors 22, 6543. https://doi.org/10.3390/s22176543 Nicolas-Boluda, A., Yang, Z., Guilbert, T., Fouassier, L., Carn, F