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Field
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: Interdisciplinary Dimensions of Risk in Times of Climate Change and Housing Crisis”, coordinated by Prof. Raquel Rolnik from the University of São Paulo's School of Architecture, Urbanism and Design (FAU-USP, Brazil
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of Irish people relating to climate change and its societal implications. It will develop an in-depth understanding of how people’s attitudes to climate change are shaped by their sources of information
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computing, metamaterials, photonics, etc. Many of the challenges posed by new technologies still need to be tackled at scientific, application and capability levels to deliver the maximum value from satellite
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, plant and planetary health. The microbial diversity in different niches is enormous, and it is not all bacteria or viruses that are harmful and many are even beneficial. We are constantly faced with
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well as an active engagement in the 3RTG activities. Requirements: successfully completed university degree (Master's, Diploma or equivalent) and relevant PhD in Computer Science, Computer Engineering, or related
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for screening purposes and cell-based therapies. We will develop methods for modelling missing not at random (MNAR) observations and quantifying uncertainty using Bayesian methods and deep learning architectures
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Jerzy Haber Institute of Catalysis and Surface Chemistry, Polish Academy of Sciences | Poland | about 2 months ago
Research FieldEngineering » Chemical engineeringEducation LevelPhD or equivalent Skills/Qualifications PhD degree in chemistry, chemical engineering or related disciplines; knowledge of surfactant
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19 Mar 2026 Job Information Organisation/Company Universidade do Minho Research Field Technology » Biotechnology Researcher Profile Recognised Researcher (R2) Positions PhD Positions Application
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20 Feb 2026 Job Information Organisation/Company Chalmers University of Technology Research Field Chemistry » Analytical chemistry Chemistry » Biochemistry Chemistry » Computational chemistry
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bring Essential PhD Degree in a relevant scientific field (e.g. computer science, data science, mathematics, engineering, or related); Strong understanding of generative models (e.g., VAEs, GANs