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computer science and philosophy. The REMAX project on Rigorous Evaluation Methods for AI Explainability, funded by a Villum Synergy grant, aims to create methods for explainable AI and their rigorous evaluation. It
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Chemical Engineering from AU. Your profile Applicants must hold a PhD in Biology, Chemistry or similar fields. Applicants are expected to have: Documented experience in optical sensing (requirement
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with its grounding in cognitive theory. The position suits candidates with a PhD in Human-Computer Interaction or a related field who enjoy making empirical, methodological, and technical contributions
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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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methane-mitigating potential; however, its use has also raised animal welfare concerns. Consequently, there is a need to evaluate the animal welfare effects of seaweed-based feed additives. Research tasks
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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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data for calibration and evaluation; quantify uncertainty and conduct sensitivity analyses to determine the relative influence of climatic, ecological and socioeconomic drivers on projected biodiversity
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have a PhD in synthetic chemistry or similar. The candidate is required to have a strong background in organic synthesis and transition metal catalysis. The candidate must be familiar with organometallic
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collaboration on the DTaaS platform - Integrate the developed model into the existing DTaaS platform developed at AU - Evaluate the developed model with respect to the goals defined in the project - Help
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identifying ecological and functional connections between environmental and host-associated microbiomes. The postdoctoral researcher will work closely with a PhD student and an international network