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) to address this question. Job description The successful candidate will design and conduct human experiments that modulate noradrenergic activity using a pupil-based self-regulation approach developed in our
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in underground facilities. The project aims to evaluate sensor technologies, design and optimize multi-sensor monitoring networks, and develop advanced detection and localization algorithms adapted
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systems, LLM pipelines, and evaluation infrastructure Designing and running systematic evaluations of model performance, robustness, and reliability Building datasets, benchmarks, and pipelines for legal AI
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Law, CRCF). It will develop AI tools to map and predict soil health across space and time, accelerate literature reviews, extract best management practices from long-term experiments, and design methods
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designs and evaluation frameworks for AI-assisted decision-making Collaborating with the technical team to study the interaction between AI systems and legal users Publishing research findings in leading
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and focused design to leverage their unique properties, with the knee as the example case. You will gain the necessary interdisciplinary skills demanded by industry and academia to deliver timely and
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on materials and device innovation for sustainable energy technologies. PhD Position on All-Solid-State Batteries Your tasks This PhD project aims to develop hydroborate-based all-solid-state batteries. A
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cellular activities, we design programmable cellular implants and devices for therapeutic applications. By integrating fundamental discoveries with translational development, we aim to shape the future
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innovation and fundamentals of nature. By performing fundamental and applied research, we work on sustainable solutions for major challenges facing society, science and economy. PSI is committed
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poorly understood. This PhD project addresses that gap. Sitting at the intersection of clinical simulation, multimodal AI, and human factors research, the successful candidate will design high-fidelity ICU