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engineering and sustainable energy systems and help develop future large-scale Power-to-X solutions. Your work tasks In this PhD fellowship at AAU Energy, you will work with dynamic modeling, simulation and
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Qualifications: •PhD in biomedical engineering, neuroscience, or a similar field. •Professional and clear communication skills, project managerial experience, and applicable science and technology experience
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-design and evaluation of Nature-Based Solutions; or possession of a PhD relevant to the required experience. - Knowledge of software tools for geospatial data management (e.g., QGIS, ArcGIS); - Knowledge
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addition to the requirements described in the work description, and eligibility requirements, the following degrees, competencies, and experiences are considered meriting: PhD in Software Engineering, Information Systems
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We are seeking a motivated and collaborative individual to join our team as a Lecturer/Senior Lecturer in AI-Augmented Software Engineering. This role offers an exciting opportunity to provide
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15 Jul 2026 Job Information Organisation/Company University of Zagreb, Faculty of Electrical Engineering and Computing Department Department of Electronics, Microelectronics, Computer and
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Helmholtz-Zentrum Berlin für Materialien und Energie | Berlin, Berlin | Germany | about 2 months ago
Electrical Engineering, Physics, Mechanical Engineering, Mechatronics, or a related field; a PhD in the relevant discipline, preferably with a specialization in pulsed magnet systems and accelerator physics
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The purpose of the project is to build a secure by design AI inference stack using the latest advancements in AI, security, and formal methods. Modern AI inference systems combine complex software
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of the project is to build a secure by design AI inference stack using the latest advancements in AI, security, and formal methods. Modern AI inference systems combine complex software components, including model
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of scientific results in conferences and journals, as well as the dissemination of datasets and software tools developed during the project. Where to apply Website https://sede.unizar.es/?app=touz&opcion=mostrar