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structure modeling in cancer immunotherapy design. Profile A — AI PhD in machine learning, computer science, computational science, or a related field. Strong experience with deep learning (e.g., PyTorch
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structures, targeting improved optical confinement, passivation, and loss control in nanoscale photonic devices. In this project, you will be embedded in the PhotonDelta NGF program. Agentic AI for ALD
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internationally. There may also be the opportunity to assist with a research cruise in Antarctica. Job requirements PhD in oceanography, cryospheric science, climate science, or atmospheric science. Experience with
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To alleviate grid congestion, traction grids can provide EV charging for zero-emission construction sites while traction-bus batteries can be repurposed as second-life energy storage for peak
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construction sites while traction-bus batteries can be repurposed as second-life energy storage for peak shaving. Job description The rapid electrification of transport, buildings, and industry is creating
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-and-trade schemes and zoning. Consideration to recent policy developments in other sectors, including the EU Artificial Intelligence Act and the EU’s Zero Deforestation target. Incentive structures
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department (GRS) working closely with PhD researchers, postdocs, and professors in an open and collaborative environment, where you will receive full support and training to grow in your career. This project
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requirements For this postdoctoral role, we are looking for someone with a demonstrated background in SAR processing, SAR applications in agriculture and machine learning: A PhD in Earth Observation, Geodesy
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a scaffold, we aim to guide the growth of a chitinous fungal network through the material. The result would be a new class of living composite materials that are not only structurally resilient but
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produced by blood vessels and other sub-voxel structures. The postdoctoral researcher will play a leading role in the theoretical and experimental development of the project. Activities will include