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you eager to make AI more sustainable? As a PhD Candidate, you will develop innovative methods for predicting and reducing the energy consumption of large-scale AI systems during their design phase
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Organisation Job description Project and job description This PhD position is dedicated to advancing autonomous robotic manipulation and control within a textile-sorting cell, where garments arrive
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and establish their potential remain to be answered, both in terms of enabling technologies for distributed sensing and the techniques that exploit it. The focus of the PhD project is to improve our
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materials systems at the molecular level with machine learning. The PhD Student will work with tumour sections to develop multiple instance learning and weak supervision / spatial transcriptomics models
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, and API misuse scenarios are underexplored areas, lacking robust frameworks to systematically address them. The research project of the PhD student will thus focus on defining a rigorous testing
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Job: Two 3-yr PhD Positions FWF-Project “The Ethics of Blaming and Praising Group Agents” University of ViennaThe FWF Project ‘The Ethics of Blaming and Praising Group Agents’ seeks to appoint two
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Description As a humanistic, sustainable and action-oriented university, Leuphana University Lüneburg stands for innovation in education and science. Methodological diversity, interdisciplinary collaboration, transdisciplinary cooperation with practice and an overall dynamic development...
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PhD position on decadal coastal dune development Faculty: Faculty of Geosciences Department: Department of Physical Geography Hours per week: 36 to 40 Application deadline: 8 September 2025
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Post Summary We are seeking outstanding candidates for two fully funded PhD studentships to explore how natural selection has driven global disparities in disease susceptibility—through the powerful
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Natural Resource (ENR) Group at Wageningen University & Research as a PhD candidate and explore the economic trade-offs involved in the transition to renewable energy. As a PhD candidate, you will assess