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fundamentally new communications and computing capabilities. Role This post focuses on developing protocols and methodologies aimed at: Efficiently routing entanglement in quantum networks Optimizing quantum
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microbes for biotechnological applications. The PhD project aims to predict the optimal compartmentalization of a production pathway to improve metabolic performance. By allocating specific reactions
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at the new Spartners facility operated by Servier and BioLabs, in the following field: New AI-Empowered Platform for Sterically Guided Design of Bispecific Antibodies If you hold a PhD or master’s degree with
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17.07.2025, Wissenschaftliches Personal The Chair of Software Engineering & AI is searching for a new doctoral research associate (TVL-E13) in Generative Engine Optimization. Research focus
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80%-100%, Zurich, fixed-term The Chair of Sustainable Construction at ETH Zurich invites applications for a 4-year PhD position within the SNF-funded National Research Programme NRP81 project
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optimize large-scale distributed training frameworks (e.g., data parallelism, tensor parallelism, pipeline parallelism). Develop high-performance inference engines, improving latency, throughput, and memory
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intelligence, and high-performance computing to study metabolic networks and optimize microbes for biotechnological applications. The PhD project aims to predict the optimal compartmentalization of a production
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About the Role: We are seeking a highly dedicated and skilled scientist with a PhD in Spatial Transcriptomics, Spatial Proteomics, Bioinformatics, Neuroscience, Biochemistry, or Bioengineering
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About MINDS Centre for Doctoral Training The Machine Intelligence for Nano-Electronic Devices and Systems (MINDS), is a very successful £5M Centre for Doctoral Training (CDT) funding around 50 PhD
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meaning from data. Designing machine learning algorithms and undertaking testing for: predictive maintenance. operational performance and cost optimization. failure prevention and timely reparation of Aids