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. In addition to the NIHR funded post available, locally funded posts may also be awarded in parallel, subject to funding and assessment against the stated criteria for the role. Applicants should be
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Poul Erik Jensen and consists of 3 associate Professors, 1 assistant Professor, 2 postdocs and 4 PhD fellows. The focus of the group is on generating knowledge about food components and their
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The Theory of Structure Evolution and Structure-Property Relations in Perovskite Solar Cells (S3.5-MPS-NClarke) School of Mathematical and Physical Sciences PhD Research Project Competition Funded
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for Science @ Scale: Pretraining, instruction tuning, continued pretraining, Mixture-of-Experts; distributed training/inference (FSDP, DeepSpeed, Megatron-LM, tensor/sequence parallelism); scalable evaluation
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100%, Zurich, fixed-term We have an open PhD position at the intersection of machine learning, embedded intelligence and human–computer interaction. The project will explore how learning systems can
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Researcher (R1) Positions PhD Positions Country Spain Application Deadline 10 Nov 2025 - 14:00 (Europe/Madrid) Type of Contract Temporary Job Status Full-time Hours Per Week 35 Offer Starting Date 30 Nov 2025
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MRC DiMeN Doctoral Training Partnership: Breaking the wall to finding new drugs for antimicrobial resistant fungi MRC DiMeN Doctoral Training Partnership PhD Research Project Competition Funded UK
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scientist holding a PhD in physics or astronomy, with a strong background in software development and machine-learning applications, demonstrated through contributions to open source projects and production
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Inria, the French national research institute for the digital sciences | Saint Martin, Midi Pyrenees | France | 18 days ago
before starting the interhsip due to administrative constraints. The DataMove and STATIFY teams are friendly and stimulating environment that gathers Professors, Researchers, PhD and Master students all
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | 18 days ago
to minimize training effort # Devise appropriate metrics to evaluate and tune trained models with respect to reproduction of key physical results # Contribute to a parallel training workflow to stream data from