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4-year PhD fellowship in the Research Programme - Deep Learning-Accelerated Crystallography Pipeline
of Copenhagen and Dr Lennard Krause at MAX IV in Lund. Your supervisors provide complementary expertise in mathematics, modern crystallography and machine learning, with opportunities to interact with OlexSys
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infection. This project will ask how antibiotics reshape phage-bacteria interactions, resistance evolution, and cell-to-cell variation in bacterial responses. The student will combine experimental evolution
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planning and learning from interaction. Possible directions include learning from video, demonstrations and simulation, and transferring knowledge across robot configurations. Adaptation and edge
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Max Planck Institute for the Structure and Dynamics of Matter, Hamburg | Hamburg, Hamburg | Germany | 8 days ago
of quantum materials and atomically resolved dynamics, fundamental light-matter interaction, accelerator-based light sources, coherent controlled molecular and solid-state dynamics, molecular imaging, extreme
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to communicate, which can make everyday interactions frustrating. These communication barriers often lead to profound social isolation, economic marginalization, and reduced quality of life. This project explores
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devices, building a software-supported framework to predict and optimize laser-material interactions, energy transfer, and resulting micro-scaled features during drilling and shaping, and modelling of beam
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increasingly threatened by plant diseases, insect pests, climate change, and growing pressure to reduce chemical inputs. Understanding how multiple biological threats interact within crops represents one
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. The research will cover topics including: Human-AI interaction and trustworthy AI Intelligent wearables and multimodal sensing Culturally adaptive AI for behaviour change Translation into real-world community
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PhD Studentship: Designing Human-AI Teams for Meaningful Human Control of 'Machine-Speed' Operations
participants interact with AI agents (e.g., developed using CrewAI or similar platform) and will run in teams of 4-6 agents (human or AI), e.g., the teams could be all human, all AI, or combinations
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PhD Scholarship in Development of Cement-Free Living Building Materials for Sustainable Construction
to pioneering research at the interface of materials science, biotechnology, and additive manufacturing. As a PhD student, you will investigate fungal-bacterial interactions, develop living bio-composites based