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Field
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visualization and scientific communication Extensive knowledge of relevant machine learning and AI techniques Exceptional collaborative abilities Self-motivated individual with ability to work independently
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Profile Recognised Researcher (R2) Positions PhD Positions Application Deadline 31 Mar 2026 - 23:00 (Europe/Rome) Country Italy Type of Contract Temporary Job Status Full-time Hours Per Week 40 Offer
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real world health data assets, including data on wider determinants of health e.g. climate. As well as analyse data following pre-specified analysis plan/s and/or approved protocols. In this position you
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. This includes conceptualizing research questions, designing empirical studies, collecting or acquiring new data sets, and analyzing these data using advanced statistical models and visualization techniques
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candidate would be a PhD in geophysical sciences, computer science, or machine learning with experience in developing and verifying deep learning-based models for large dynamical systems (e.g. weather
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of this proposal is to explain why this variability arises. About You The successful candidate will be expected to contribute to experimental design, running experiments, analysing results and writing research
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include data compression and reconstruction, data movement, data assimilation, surrogate model design, and machine learning algorithms. The position comes with a travel allowance and access to advanced
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experience in earth observations and geospatial analysis. Through the ‘EXCELSIOR’ H2020 Teaming Project (https://excelsior2020.eu/ ), ERATOSTHENES Centre of Excellence aspires to become a Digital Innovation
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statistical findings into narratives by collaborating with designers to create "what-if" simulations and visualizations for public-facing events. Co-author scientific publications and present findings
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biology through single-crystal neutron diffraction techniques. This position focuses on visualizing critical hydrogen atoms in carbohydrate-binding proteins and their complexes using neutron diffraction