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have been completed earlier. Additional requirements: Written and oral proficiency in English. A keen interest in evolutionary biology and quantitative genetics Expertise in the use of quantitative
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writing scientific papers and communicating our research advances in conferences. Methods: programming a humanoid platform using ROS2 packages, solve SLAM, use imitation learning algorithms to learn pick
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decision. Under special circumstances, the doctoral degree can have been completed earlier. Additional requirements: Written and oral proficiency in English. A keen interest in evolutionary biology and
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. To understand current biodiversity, we also need to understand its evolutionary history – to predict its evolutionary future. We aim for interdisciplinary approaches to understanding environmental change and
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properties. In this project, we will apply machine learning and optimization algorithms in order to achieve the design of such nanophotonic structures. As a postdoc you will be part of the Condensed Matter and
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apply machine learning and optimization algorithms in order to achieve the design of such nanophotonic structures. As a postdoc you will be part of the Condensed Matter and Materials Theory division, a
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analysis of complex, longitudinal, and high-dimensional data (e.g., immunometabolic profiles, clinical data, biomarkers). Development and application of predictive models and algorithms for diagnostics
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an integrated development of network architectures, resource efficient algorithms, and programming paradigms for enabling an application-tailored design of dependable communication and computation systems
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AI methods and genetic algorithms Prior publication experience at top robotics and AI conferences (ICRA/IROS*/RSS/NIPS/CoRL) / journals (RAL/TRO/IJRR/RAM) is necessary *If you are attending IROS 2025
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(Evolutionary Biology Center, Uppsala University, Sweden). The Günther group is specifically studying the prehistory of humans in Europe and the genomic history of animal domestication while developing and