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their website at https://www.naritalab.com/ Our laboratory investigates the biology of preneoplastic cell states, with particular interest in how changes in cell functional identity and plasticity are controlled
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to an international, interdisciplinary doctoral network. Excellent written and spoken English and strong scientific writing skills. Experience with EU biodiversity or sustainability policy, spatial modelling, social
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, interviews, backcasting, transition pathways, policy mixes, social simulation modelling, and possibly participatory value evaluation or gamification. You will collaborate with other early-career and senior
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be the head of the computing unit. About the project The primary research goal will be to create quantitative performance models that describe a range of numerical methods, parallel programming models
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | about 2 months ago
institutes, with the student spending substantial time at each site to leverage their complementary experimental platforms and expertise. The PhD candidate will focus on developing novel control and modeling
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the position We are seeking a highly motivated PhD candidate to investigate cascading cyber effects, cyber resilience, and advanced cyber range modelling. The research combines simulation, software
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Twins is that cities are systems-of-systems, with complex interactions between physical, organisational, and social dimensions, as well as between the physical world and the digital world. Novel modeling
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social dynamics, the research aims to advance the state of language generation for conversational agents across multiple domains and languages. Where to apply Website https://phd.fbk.eu/calls/detail
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Bremen Website https://constructor.university/research/school-of-business-social-decision-sciences Street Campus Ring 1 Postal Code 28759 STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp
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for probabilistic unsupervised learning for structured biological data. The successful candidate will: Develop probabilistic factor models and scalable inference algorithms for structured biological (multi-view) high