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to think independently, in human-AI interaction. You will connect the project's technical work with its grounding in cognitive theory. The position suits candidates with a PhD in Human-Computer Interaction
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: planning and execution of pilot scale HTL campaigns carrying out wet-oxidation experiments in pilot scale supporting full scale HTL experimental campaigns with sampling, data analysis, process evaluation and
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questions, build arguments, interpret data and document processes in ways that are recognizable in both domains. The postdoc will be conducting educational research on computational writing in pharmaceutical
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in using natural language processing (NLP) methods on large-scale text data. Candidates with substantial experience in NLP and text-based analysis will be particularly well suited to the project
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warming after CO2 and methane. The challenge with the current catalyst types is the relatively high temperature required to run the catalytic N2O decomposition process efficiently. As a postdoc, you will
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procedure All applications must be sent via the electronic recruitment system, using the link below. The application must include: A complete, numbered list of publications and work in progress (indicating
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Thomsen, Centre for Alcohol and Drug Research, e-mail: [email protected] , Tel.:+45 2991 6092. If you require assistance with uploading your application or have questions regarding the recruitment process
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are software representations of physical assets, processes, or systems. They leverage real-time data to mirror the behaviour and characteristics of their physical counterparts, enabling predictive maintenance
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-gas emissions using a hyperspectral camera. We are currently focusing on methane. The work will include processing and analysing hyperspectral observations and developing and validating methods
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physical and chemical processes that govern molecular behaviour at temperatures close to absolute zero. IRAstro addresses this challenge by combining cutting-edge laboratory experiments, advanced