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of Biomedical Engineering - Prof. Elham Azizi's Lab, is looking for a Staff Associate III to: Functional Knowledge (35%) – Develop advanced probabilistic and causal generative frameworks linking molecular
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. Project description and tasks The successful applicant will study problems in extremal and probabilistic combinatorics, as part of Dr. Maryam Sharifzadeh’s project Induced saturation problems
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(including data science courses, soft skill courses and annual retreats): https://www.hds-lee.de/about/ A qualification that is highly valued in industry 30 days of annual leave and flexible working
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 2 months ago
within a Research Infrastructure? No Offer Description Applications are open for 2 (two) Research Studentships, within the framework of PREDICT (Probabilistic Real-time Estimation of Discharges Integrated
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well as experience in the development of novel probabilistic methodology. Previous research experience in random interfaces and lattice models would be an advantage. What we offer As well as the exciting opportunities
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- Literature review and data analysis. - Development of predictive models and innovative risk assessment methods. - Sample analysis and toxicological evaluation. - Probabilistic exposure modeling and uncertainty
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-time postdoctoral grant in Probability and Statistical Physics - CY Cergy Paris University Mathematical modelling of complex systems often involves combining deterministic structures with probabilistic
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of probabilistic prediction capabilities. Collaborate in the co-development of decision support tools that translate model outputs into actionable information for regional stakeholders, building on priorities
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join the Tang Lab. The Tang Lab (https://tangxinlab.org/ ) develops explainable, autonomous, and multimodal artificial intelligence (AI) systems to advance biological discovery. Our research integrates
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extent of domains. Radial Basis Functions (RBF) can be used to infer the boundaries between different domains in a probabilistic framework, thus accounting for uncertainty in the domain definitions