30 post-doc-in-wireless-communication-and-networks-2016 Postdoctoral positions at Chalmers University of Technology in Sweden
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automotive control applications is appreciated. Ability to initiate new research collaborations is essential. Good communication skills in oral and written English are required. Contract terms This postdoc
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prior to the application deadline, in accordance with postdoctoral qualification regulations.* Additional requirements include: · Strong written and verbal communication skills in English · A demonstrated
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to galaxy evolution and observations of galactic magnetic fields. Experience with Bayesian statistics is advantageous. Strong verbal and written communication skills in English are required. To qualify
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communication and analytical skills You are expected to be somewhat accustomed to teaching, and to demonstrate good potential within research and education. * The date shown in your doctoral degree certificate is
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the application deadline* Proficiency in programming (preferably Python) Strong communication skills in English, both written and spoken Additional merits that are considered: Advanced coursework in aircraft design
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not only your previous research but also your research plan during the postdoc. English is the working language, so the candidate is expected to have strong communication skills in English, both oral
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We are seeking a highly motivated and skilled Postdoctoral researcher with interdisciplinary expertise to develop risk assessment and mitigation models using Large Language Models (LLMs
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Join our cutting-edge research team at Chalmers, exploring microresonator frequency combs for advanced communications and metrology. We’re looking for a postdoctoral fellow to drive innovation in
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hold a doctoral degree awarded no more than three years prior to the application deadline. The position requires sound verbal and written communication skills in English. Swedish is not a requirement but
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The position's field of research focuses on developing and implementing safe, transparent, and explainable AI systems using multimodal deep learning and Large Language Models (LLMs) for healthcare