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aims at addressing computational challenges associated with data acquisition and information extraction from complex sensors and sensor networks. Crucially, uncertainty management and quantification
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teams at Heriot-Watt University. The position is available for immediate start, however timing can be discussed. For further information or to discuss the role, contact the Principal Investigator, Dr
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qualitative and quantitative data. Excellent written and oral communication and presentation skills Ability to work independently and collaboratively within a diverse team of academic and industrial partners
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SNNs are typically fed with spiking data (e.g., streams of binary values), and the output of each layer remains spiking. They are particularly well suited for several new sensors, such as event-cameras
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postdoctoral researchers and PhD students, pursuing research in many aspects of field theory, string theory, and integrability (for more information, see https://www.hw.ac.uk/uk/schools/mathematical-computer
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optoelectronics or closely related field. Electro-optical characterisation and measurement of detectors are essential. General tasks will involve scientific research; analysis and interpretation of data; daily
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University community and welcomes applications from all sectors of society, particularly from underrepresented groups. For more information, please see our website https://www.hw.ac.uk/uk/services/equality
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, photoelectron spectroscopy, two-dimensional spectroscopy. Practical experience with vacuum systems, including ultra-high vacuum systems. Experience of programming for data acquisition and analysis (preferably in
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at Université Paris-Saclay (https://cvn.centralesupelec.fr/ ), Prof. Pock from the Institute of Computer Graphics and Vision at Graz University of Technology (ICG ), Prof. Thiran from the EPFL Signal Processing