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the groups of Dr Joe Forth, Dr Anthony Bradley, and Project Lead Professor Steve Rannard, applying your expertise in machine learning, cheminformatics, and soft materials to accelerate LAT design and
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asynchronous AI-led chemical optimisation across chemistry laboratories¿. This role sits at the intersection of robotics, machine learning, and chemistry, aiming to develop robotic systems that work
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argumentative agentic AI approach for chemical development settings based on reinforcement learning but able to shape rewards with the help of ontological knowledge as well as expert knowledge from humans and
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. For the working group “Past and Future Earth” (PATH) within the Research Department “Earth System Analysis”, PIK is offering an Early Career Researcher position (PhD or postdoctoral level) (m/f/d) (Position number
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. For the working group “Past and Future Earth” (PATH) within the Research Department “Earth System Analysis”, PIK is offering an Early Career Researcher position (PhD or postdoctoral level) (m/f/d) (Position number
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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
of PhD-level scientists, graduate students and undergraduate students Self-motivated with an ability to work independently and in a team to get the work done. Willingness to learn and confront new
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chemistry and machine learning approaches to investigate innovative catalytic systems, with a focus on biomass-related areas Optimization of homogeneous and heterogeneous catalytic processes using high
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, and human-centred computing. You will join the Vision & Human-Robot Interaction (VHR) Lab, a multidisciplinary research group working at the intersection of robotics, machine learning, and human
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research aims to develop new AI for shared human-AI decision-making in healthcare imaging. This post focuses on bridging theory and applications of the Learning-to-Defer (L2D) framework, building on recent
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learning, probabilistic decision making) For your application, please submit: a brief motivation letter (max 1 page) your CV (including a list of publications, if available) transcript of records PhD