34 high-performance-computing-postdoc positions at AIT Austrian Institute of Technology
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improving battery performance and lifespan. You will conduct a literature review and explore the state of the art in quasi-solid-state electrolytes and ionic liquids for lithium metal batteries. You will
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Ingenious Partner: Degree (BSc / MSc) in computer science (FH / University), preferably in software engineering or equivalent higher technical education (HTL) with experience Experience in professional
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, numerous and diverse projects address the functioning of soils, plants, microbiomes and their interactions.
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and project management Experience with contract research is an advantage Solution-oriented expertise, communication skills, high commitment, and motivation Excellent communication skills in English
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perform optimally and are suitable for specialised applications, we are looking for a new team member at our location in Ranshofen . A core focus of this role is the investigation of innovative welding wire
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portfolio is based on three central systems: Public Energy Supply Systems, Industrial Energy Systems and Cities & Built Environment. As part of our international and interdisciplinary team “High Efficiency
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qualifications as an Ingenious Partner: Completed university degree, preferably in computer science, electrical engineering, computer engineering, mathematics, physics or similar (minimum BSc. degree) Good
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qualifications as an Ingenious Partner: Completed university degree, preferably in computer science, electrical engineering, computer engineering, mathematics, physics or similar Knowledge in at least one area
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As Austria's largest research and technology organisation for applied research, we are dedicated to make substantial contributions to solving the major challenges of our time, climate change and digitalisation. To achieve our goals, we rely on our specific research, development and technology...
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, for e.g.: Aviation, Railway / Public Transport, Construction Industry, Logistics & Transportation as well as in Agriculture & Forestry. Foundation models in Computer Vision and Natural Language Processing