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, including both the large-scale production machines and the testbed machines featuring novel architectures such as Cerebras and SambaNova. The list below provides examples of the potential tasks
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infrastructures. The Department of Architecture and Civil Engineering tackles contemporary and emerging challenges for both the built and natural environments, ranging from resource utilisation, pollution, and
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(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. The candidate will apply
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, Massachusetts 02139, United States of America [map ] Subject Area: Astrophysics / Exoplanets Salary Range: $71,000 to $90,000 Appl Deadline: 2025/12/20 11:59PM (posted 2025/10/20, listed until 2025/12/20
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modelling, designing, optimizing, and experimentally validating new system architectures, as well as contributing to collaborative research activities, preparing project deliverables, assisting with
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stimulating research environment with senior researchers, other pos-docs and PhDs, affiliated with the research area Local-Regional Transformations. The research area of Local-Regional Transformations have a
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architecture and electric mobility systems. Where to apply Website https://www.timeshighereducation.com/unijobs/listing/404328/gti-postdoctoral-re… Requirements Additional Information STATUS: EXPIRED X (formerly
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requirements: To apply for the Post-Doctoral Research Grant, applicants must comply with the following requirements, for which documentary evidence must be provided: PhD in Architecture or Civil Engineering
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the practical adoption of IBFD. In this postdoctoral project, you will investigate novel integrated microwave circuit architectures that address the front-end challenges of IBFD in MIMO systems. The research will
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Max Planck Institute for Evolutionary Biology, Plön | Plon, Schleswig Holstein | Germany | 27 days ago
the genetic architecture of a polygenic trait, embryo size in Drosophila, and to study the effect of distance to trait optimum on the adaptive architecture. Our group has recently developed an accurate and high