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to functionalize metal-free electrodes for selective methane production. Building on our previous work, we seek to enhance the performance of our electrolyzer system — including current density, selectivity, energy
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to develop generative AI methods for nanoparticle drug delivery design, at the intersection of machine learning, explainability, and pharmaceutical nanotechnology. Job description We are looking for a
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daily with researchers at Toyota Motor Europe and the Toyota Research Institute, and co-supervise PhD students within the VISLab . Tasks and responsibilities: designing and developing compositional robot
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research. You will also be joining the growing forum on Decolonial Futures (https://decolonialfutures.uva.nl ) that the university has been building up. This is where you'll be working The Faculty
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that currently has 2 PhD researchers (working on artistic/cultural archives of Pakistan and East Pakistan/Bangladesh between 1940s-1980s) and 2 Postdoctoral scholars (working on infrastructures of transnational
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programmes; co-organizing expert meetings; helping to design nature retreats for media professionals. This is what we ask of you PhD in a relevant field; Expertise in research on investigative journalism
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in data integration, model design, and large-scale training by combining multi-modal scientific data, knowledge graphs, physics-aware machine learning, and GPU/HPC computing to develop transparent and
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remains poorly understood how such systems learn and what signatures learning leaves in their physical structure and energy landscape. This project aims to build the theoretical foundations of physical
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relevant scientific contributions (no monographs), and a research plan of one A4 maximum, in which you clarify how you will contribute to the research agenda of Texts in Contexts: https
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Observation Programmes. You will be part of the ESA Φ-lab. Our mission is to accelerate the future of Earth observation (EO) by embracing disruptive innovation and acting as the catalyst for disruptive