11 postdoctoral-in-optical-signal-processing PhD positions at Radboud University in Netherlands
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want to contribute to the next level of molecular computing? Are you excited about the application of AI tools to train molecular systems how to process information? Then join our team as a PhD candidate
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experiment at the LHC. The project will be conducted in close collaboration with Dr Flavia de Almeida Dias and a postdoctoral researcher in experimental particle physics. Your appointment will be for four
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experiment at the LHC. The project will be conducted in close collaboration with Dr Flavia de Almeida Dias and a postdoctoral researcher in experimental particle physics. Your appointment will be for four
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Apply now Are you interested in helping to realise long-term sustainable futures and solve short-term challenges? Do you have a keen analytical eye as well as the social skills to connect people? Are you
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), the interdisciplinary hub on digitisation and society (iHub), and the AI department. This postdoctoral position is funded by a Vici grant awarded to PI Dingemanse and will be embedded in the ’AI: Language and
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to achieve this goal by empirically studying clinically relevant processes such as biased information and affective processing, approach-avoidance tendencies, cognitive control, emotion regulation, motivation
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are environmentally sustainable. To this end, different designs of AI systems should be assessed during the design phase. Data flow diagrams used at NOLAI capture the processing, storage and
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demonstrate a passion and aptitude for research. You have proven interests in colonial processes and at least one of the following themes: the social sciences of outer space; ocean spaces; extractivism. You
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the production of the greenhouse gas methane in coastal marine sediments worldwide. Methanotrophs play a key role in removing the methane through aerobic and anaerobic microbial processes. The efficiency
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the production of the greenhouse gas methane in coastal marine sediments worldwide. Methanotrophs play a key role in removing the methane through aerobic and anaerobic microbial processes. The efficiency