266 phd-in-architecture-and-built-environment Postdoctoral positions at Nature Careers
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The Robotic Materials group at ETH Zurich Department of Materials is looking for three postdocs and one PhD for the project funded by ERC Starting Grant : "Distributed Addressable Robotic Material
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of personalized solutions we offer. Welcome to the UKE. PhD position / Postdoc position (all genders) in AI for biomedical data analysis Part time | Temporary | Hamburg Eppendorf UKE_Zentrum für Molekulare
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from over 50 nations, it is the largest institute of the Max Planck Society. The Research Group Computational Biomolecular Dynamics (Prof. Dr. Bert de Groot) is inviting applications for a PhD Student or
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environments (e.g., Mininet, NS-3), MANO platforms (e.g. OSM) Solid understanding of 5G/6G network architectures and technologies is considered a strong asset Proven software engineering and coding skills (e.g
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think outside the box, to learn fast, collaborate effectively, iterate quickly, and work at the interface of both experimental and computational design. Qualifications for Computer Scientists, AI/ML: PhD
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neurodifferentiation and cancer models. Candidates with strong interest in gene regulation, chromatin architecture, epigenetic mechanisms, and non-coding RNA biology are encouraged to apply. Experience in performing and
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work together to enable interdisciplinary research and to create an open, collaborative environment to help promote life science research both nationally and internationally. The Health Data Science
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-cell transcriptomics) A background in atherosclerosis or vascular biology, particularly smooth muscle cell biology Research environment You will be based at the newly built research facilities
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Postdoc Position in Models of Quantum Programming Languages (Sapere Aude: DFF-Research Leader Pro...
and categorical quantum theory. The Department of Mathematics and Computer Science is an inclusive and international working environment with state-of-the-art facilities and strong traditions
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laws and symmetries into architectures like neural operators, physics-informed neural networks (PINNs), and graph-based solvers, the project aims to accelerate simulations in areas including protein