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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | about 2 months ago
employment. Starting date: 01.05.2026 Job description:PhD Student (f/m/d) Dynamic Process Modelling and Value Chain Assessments for Sustainable Methanol from Renewable Energy With cutting-edge research in
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. Objectives: The aim of this project is to develop business models that allow to leverage local energy markets as a way of accelerating the energy transition. In this specific work, the aim is to develop
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disciplines: Advanced Computer Science MSc Chemistry MSc by Research Comparative Social Policy MSc Economics for Development MSc Education (Digital and Social Change) MSc Education (Higher Education) MSc Energy
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for a research grant within the framework of the Funding UID/00511/2025 of the Research Unit LEPABE - Laboratory for Process, Environmental, Biotechnology and Energy Engineering - funded by Fundação para
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- Work Plan / Goals to be achieved: Hydrogen storage remains a critical challenge hindering the large-scale implementation of hydrogen as a primary, non-toxic, renewable, and fossil-free energy vector
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Gorlitz, Sachsen | Germany | about 2 months ago
employment. Starting date: 01.03.2026 Job description:PhD Student (f/m/d) in Quantum Algorithms for Fluid and Environmental Flow Modelling With cutting-edge research in the fields of ENERGY, HEALTH and MATTER
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Engineering, Business Management, Energy for Sustainability, Mechanical Engineering, Civil Engineering or related fields enrolled in a non-degree-granting course I.II – The non-degree-granting course must be
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LEPABE - Laboratory for Process Engineering, Environment, Biotechnology and Energy, Department of Chemical and Biological Engineering of the Faculty of Engineering of the University of Porto (FEUP), under
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 2 months ago
consistent and usable form, the student will work on building a unified dataset that supports different types of modelling tasks. This includes creating derived features (e.g., daily profiles, peak indicators
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to the characterization of the spinal cord before and after treatment. The candidate must have knowledge of the characterization of cell samples and tissues by immunofluorescence and RNA-ISH. They should also have