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of Computer Science and Engineering (CSE)Chalmers University of Technology University of Gothenburg You will be part of the Computing Science Division The appointed candidates will also join a vibrant community of over
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Description TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in the country. For TUD diversity is an essential
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equitable. This UKRI Frontier project was selected for funding by the European Research Council (ERC) and is led by Prof. Anna Korhonen. The goal of the project is to investigate the challenges in
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; EPSRC Centre for Doctoral Training in Green Industrial Futures | Edinburgh, Scotland | United Kingdom | 3 months ago
for industry placements, site visits, international facility visits and biannual residentials. The Project The project is led by Prof. Mercedes Maroto-Valer in collaboration with industry partner, TÜV-SÜD, and
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by an interdisciplinary team at Chalmers Department of Architecture and Civil Engineering , in collaboration with Gothenburg University and key stakeholders such as housing owners and the Swedish
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and determination? We are currently seeking a/an PhD in AI-assisted proteomic data analysis applied to Human Health 50 Faculty of Life Sciences Job vacancy starting: 01.09.2025 (MM-DD-YYYY) | Working
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an important role in the future energy system. However, the necessary adoption of electrolysers has been slow, limiting the accumulated relevant operational experience for confidence in the technology. Thus
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Your Job: The department of Electrocatalytic Interface Engineering, headed by Prof. Dr.-Ing. Simon Thiele, focuses on the development, characterization and testing of electrochemical systems from
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Your position The successful applicant will work under the supervision of the Principal Investigator (Prof. Dr. Maria Katapodi) and collaborate with members of the CASCADE Consortium, a
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Requirements We will only consider candidates with a good Bachelor’s degree (ideally, a first, minimum 2:1) and/or a master’s degree in computer science, data analytics, health economics, or computational