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advancing cell-specific drug delivery approaches. The project is funded by an ERC-2022-Consolidator Grant, entitled “Artifying fibroblasts: Perturbation modelling in the lung tumor phase space to rewire
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applications in astrophysics and/or Earth observation, with particular emphasis on the synthesis, interpretation, and modeling of large datasets. Where to apply Website https://apella.minedu.gov.gr/en/node/5999
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, membranes and advanced electrochemical systems. Collaborate with AI and computational science teams to accelerate discovery using machine learning, large language models (LLMs), and large quantitative models
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contribute to the theoretical and observational study of milli-lens systems, with particular emphasis on testing different lens models and approximations within several dark matter theoretical frameworks
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integrated modelling. The key role of the candidate focusses on investigating and implementing neuromorphic algorithms algorithms to dedicated photonic reconfigurable systems. Job is in the context of EU
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of neurotrophin ligands with desired pharmacological properties and evaluates them in neural cultures (primary, human iPS-induced), and mouse models of neurodegeneration and CNS injury. The “Biomaterials and
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services into the European Collaborative Cloud for Cultural Heritage (ECCCH). The focus will be on data modelling, analysis and visualization, exploring data acquired using imaging and spectroscopic
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software applications for data modelling, analysis, and visualisation. These applications will explore data acquired using imaging and spectroscopic techniques to provide information on the nature and light
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Description The Arthropod Disease Vector Biology lab (https://www.imbb.forth.gr/en/research ), headed by Dr. Michail Kotsyfakis, invites applications for one research assistant position to work on the newly
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conceptual models to support co-design processes Provide support to Task 4.2 (Stakeholder Analysis) and T5.2 (Digital Platform Design Framework) as needed Support Task 4.3 (Systemic Analysis of Urban