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14 Jul 2026 Job Information Organisation/Company AALTO UNIVERSITY Research Field Chemistry Engineering Computer science Mathematics Physics Researcher Profile Recognised Researcher (R2) First Stage
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-generation energy solutions and medical technology. We educate graduates for a wide range of careers in industry, public administration and academia. The Department of Biotechnology and Food Science is one
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1st August 2026 Languages English English English The Department of Energy and Process Engineering has a vacancy for a PhD Candidate in Plastics Pollution Modelling and Life Cycle Assessment Apply
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appear as mathematical models in energy, environmental engineering, aerodynamics, biosystems, geochemistry or ‑physics, and include processes like flow or reactive transport. The development of accurate
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to develop and utilize innovative, interpretable data-driven analysis methods to significantly advance our understanding of immune cell inter-relations within the cancer microenvironment. We will apply
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demonstrating knowledge of the underlying molecular mechanisms. c) Proficiency in in vitro cell culture models, particularly models mimicking the oral cavity and the interactions between oral components (e.g
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systems, and infrastructure planning. The PhD candidate will be hosted at the Managerial Economics, Finance and Operations Research (BEDØK) group at the Department of Industrial Economics and Technology
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A Doctoral Researcher (PhD student) in Machine Learning for Electron–Phonon Interactions and Wannier-Based Hamiltonians Aalto University is where science and art meet technology and business. We
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INSTITUT CATALÀ DE NANOCIENCIA I NANOTECNOLOGIA | Universitat Autonoma De Barcelona, Cataluna | Spain | 3 months ago
APPLICATION AREAS OF RESEARCH Health Energy Environment Information, communication and quantum technologies Candidates can review the research lines here: http://icn2.cat/en/research During the application
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to medium enterprises, and 2 research and technology organisations, divided over 7 countries. COCO-AI aims to establish an AI-optimised plant cell culture platform as a sustainable, circular, and digitally