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Field
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(SFDI) and also from our custom-built photoplethysmography (PPG) sensor. Applicant should have experience in time-series processing with appropriate AI models (recurrent networks, LSTM) and experience in
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Proven capability to conduct relevant, top-level scientific research, Excellent understanding of IP networking across various wired and wireless technologies and scenarios from host-internal communications
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The Medicines And Healthcare Products Regulatory Agency; | Canary Wharf, England | United Kingdom | 2 days ago
communication skills with experience in presenting research, writing study protocols, and drafting strategic papers and manuscripts for publication. Actively build and maintain a network of colleagues and
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, C++, ROS, ML/AI frameworks such as PyTorch/TensorFlow). Background in at least one of: intelligent robotics, neural networks, cyber-physical systems, or explainable AI. Excellent English communication
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, modelling and simulation of photonic systems, sensor systems, signal processing and device manufacturing, development of machine learning algorithms, and design of optical communication networks or power
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Purpose Commons that explores strategies for cultivating purpose among young people. The Postdoctoral Associate will also help to build and sustain the Lab of Labs, a collaborative and dynamic network
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, and oral presentations to the public and academic community in Ukraine - Design and implement scientific and methodological monitoring The contract researcher (M/F) will work with the ANR ExSov project
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therein must be fulfilled by the date of the act of contracting. Preferred conditions a) Leadership of scientific research projects. b) Participation in multi-institutional networks and community engagement
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., Science Translational Medicine, 2022; Seelbinder et al., Nature Communications, 2023). MBD is currently coordinating the EU-funded consortium MiCCrobioTAckle (https://www.miccrobiotackle.eu/# ), the BMBF
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knowledge of wireless communications, and signal processing. You have at least intermediary knowledge of machine learning algorithms, including federated learning, split learning, and graph neural networks