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Field
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reconstruct paleoclimates, ecosystem dynamics and evolutionary processes, and refine the geologic time scale by applying an integrated stratigraphic approach. We are particularly interested in constraining
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experimental testing. You’ll design and run experiments, write and train algorithms, and contribute to open-source tools that may one day become industry standards. This project offers the freedom to explore
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, behavioral assays, spatial transcriptomics, and neuroanatomical methods to link brain activity, circuit architecture, and molecular identity. The lab is also interested in comparative and evolutionary
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biological proxies, we reconstruct paleoclimates, ecosystem dynamics and evolutionary processes, and refine the geologic time scale by applying an integrated stratigraphic approach. We are particularly
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to test and demonstrate the developed concepts and algorithms for integrated (re)planning. This PhD research will use a mixture of techniques from logistics, operations research, multiple-criteria decision
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of battery modelling and algorithm development, with a strong emphasis on the data-driven modelling and control aspects. You will contribute to shaping the technologies that underpin a more sustainable and
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adapt to environmental change, including ecological and evolutionary effects on species interactions, behaviour and community composition. We make innovative contributions to the fundamental research
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. You will be working at the intersection of battery modelling and algorithm development, with a strong emphasis on the data-driven modelling and control aspects. You will contribute to shaping
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the origins of human cognitive brain functions. This project focuses on understanding human brain evolution and how evolutionary procesess have shaped the organization of human cognitive brain networks
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evolutionary procesess have shaped the organization of human cognitive brain networks and their cognitive functions and vulnerability to mental conditions. By applying neuroimaging, genetics and network