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AI PhD Scholarship - Opportunity: Foundation Models for Brain Data Job No.: 696618 Location: Clayton campus Employment Type: Full-time Duration: The scholarship may be held for up to 3.5 years
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Pepa Atanasova and Ingo Zettler and will work at the interface of machine learning and behavioural psychology. Duties include contributing to co-designing and running controlled human-AI interaction
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microswimmers/microrobots that can move and interact autonomously in 3D environments, mimicking the complex dynamics of microorganisms in fluids. Living systems such as bacteria or algae exhibit remarkable
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biology who work together enthusiastically as a multidisciplinary team. You will be part of this group and will interact actively with current members. Applicants should hold a PhD or be close to completion
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, but its human burden is badly understood. This PhD addresses this gap, integrating multiple high‑value datasets describing metagenomic and metatranscriptomic sequencing information, clinical and
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behavior and spread; wildland-urban interface fire; combustion and heat transfer in wildland and urban fuels; computational fluid dynamics and multiphysics modeling; high-performance scientific computing
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genomics and genome mining, qPCR method development, and applied bioinformatics.The project offers a unique opportunity to work at the interface of microbiology, microbial ecology, plant pathology, genomics
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the vicinity of subwavelength resonators. As a first step toward this long-term goal, the project aims to integrate THz metamaterials into atomic vapor cells and interface them with cesium atoms excited
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in building conversational agents or dialogue interfaces, including working with large language models, prompt engineering, and natural language generation for interactive applications. Ability to work
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Postdoctoral fellow within Microglia–Neural Circuit Interactions in Memory and Disease (PA2026/2262)
, psychiatric disorders (e.g., anxiety and fear disorders), and neurodegenerative diseases such as Alzheimer’s and Parkinson’s disease. The successful candidate will work at the interface of circuit neuroscience