63 post-doc-in-machine-learning Postdoctoral positions at Technical University of Denmark in Denmark
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Job Description The Section of Bioinformatics, DTU Health Tech is world leading within Immunoinformatics and Machine-Learning. Currently, we, together with Lonza Cambridge, UK, are seeking a highly
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interest and documented skills and experience in using computer-based tools to analyse, simulate and predict capture performance of active and passive fishing gears. A track record of publishing in peer
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Job Description Are you passionate about leveraging IoT, machine learning, and optimization to make buildings smarter and more sustainable? Join us to advance your career by working
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Job Description Are you passionate about leveraging IoT, machine learning, and optimization to make energy districts and communities more sustainable? We are looking for a highly motivated and
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integration. Your work will be central to achieving the project’s ambitious academic, industrial and societal impact goals. DTU Engineering Technology is seeking a post-doc in technology implementation
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approach will create a unique foundation for advanced data analysis, including AI, machine learning, and statistical modeling, aimed at uncover the key traits that define successful microbial biofertilizers
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Job Description DTU Sustain’s section Waste, Climate and Monitoring offers a 2-year position as a post-doctoral fellow in detection and quantification of fugitive emissions of poly- and
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Communication, Singal Processing, Low Power Electronics, Wireless Sensing, Low-Power System Design, Machine Learning & Edge Inference, Underwater acoustic communication. Furthermore, you have a proven record of
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tolerant microstructures that can cope well during subsequent in-service use You will work in close collaboration with a group of senior scientists and technicians as well as Post Docs and PhDs. Also, the
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, computer science, and computer engineering, including artificial intelligence (AI), machine learning, internet of things (IoT), chip design, cybersecurity, human-computer interaction, social networks