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recently completed (or be close to completing) a PhD in Computer Science, Machine Learning, Natural Language Processing (NLP), or a related field, with a thesis focused on AI, specifically LLMs
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3 Sep 2025 Job Information Organisation/Company Universidade de Aveiro Department Física Research Field Physics Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Project and research area : The M-Carbo-Store project studies
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highly motivated candidate who meets the following qualifications and characteristics: PhD (completed or soon to complete) Software Engineering, Computer Science, Embedded Systems, Artificial Intelligence
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, located in Brooklyn, has the distinct history of having been known previously as Brooklyn Poly. The position is open to PhDs with background in robotics, controls, AI, and/or computer vision and hardware
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. Safe and Certified Control for manipulation: Designing control algorithms that ensure passivity, Lyapunov stability, and safety for human-robot collaboration. Qualifications: Applicants must have a PhD
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Postdoctoral position in structural and biophysical analysis of plant hormone transporters within...
to investigate the molecular mechanisms of plant hormone transport. The position offers the opportunity to work within an international, interdisciplinary environment, combining structural biology, biophysics, and
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on two current ongoing PhD projects, design and test methods that selectively stimulate flatfish to emerge from the sediment, facilitating their capture in the net. Together, the two Postdocs will develop
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to investigate the molecular mechanisms of plant hormone transport. The position offers the opportunity to work within an international, interdisciplinary environment, combining structural biology, biophysics, and
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holistic, interdisciplinary approach that bridges computational social science and computational mental health to capture fine-grained behavioral data, uncover underlying mechanisms, and design