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related to staff position within a Research Infrastructure? No Offer Description Doctoral researcher on energy systems, life cycle sustainability, decision models, and investment pathways Aalto University
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evolutionary cell biology. Our ERC-funded project uses pigment cells in tropical cichlid fishes as a powerful model to uncover how complex cellular phenotypes and developmental programs evolve. We integrate
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Postdoctoral Researcher in ML for Dynamical Systems Representation, Prediction, and State-estimation
to develop machine learning-enabled approaches for predictive modelling and state estimation for fundamental applications within physical sciences. Your role The main research responsibilities involve building
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Description We are hiring a research assistant for the EU-funded SafeNet project to explore forest biodiversity solutions. Tasks include data collection, documentation, and modeling preparation. Position is
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of geological hydrogen reservoirs, combining geochemistry, microbiology, isotope analysis, and modelling. The doctoral researcher will focus on the geological hydrogen aspects of the project by integrating
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-effectively predicting the rate of massively multicomponent organic, or organic-enhanced, new-particle formation in the atmosphere. We will combine our molecular-level model development with machine learning
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organic, or organic-enhanced, new-particle formation in the atmosphere. We will combine our molecular-level model development with machine learning and artificial intelligence methods, targeted validation
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researcher or project researcher to work in the SnowPower-project, which is led at University of Turku by university lecturer Sami Jouttijärvi. The project funding covers the years 2026-2029 (https
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of the Flagship of Advanced Mathematics for Sensing, Imaging and Modelling (FAME), which provides a collaborative and supportive environment, uniting physicists, engineers, mathematicians, and applied
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three-year doctoral research project that develops synthetic aperture radar-based sensing methods, models, and experiments targeted for human health monitoring in specific applications. The goal is to