22 parallel-computing-numerical-methods-"Prof" uni jobs at Chalmers University of Technology
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staff position within a Research Infrastructure? No Offer Description Join our computational mechanics team at Chalmers University of Technology ! As a Doctoral student with us, you will develop numerical
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conducted within the research group of Prof. Maths Karlsson at the Department of Chemistry and Chemical Engineering, Chalmers University of Technology, Sweden. The group focuses on the characterization
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Deadline 15 Oct 2025 - 12:00 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
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discovery and characterization, and microbial conversion of complex biomass. Professor Merima Hasani (Chemistry and chemical engineering) and Assoc. Prof. Lauren McKee (KTH , Stockholm) will act as co
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the lab, you will be exposed to a broad range of computational methodologies, ranging from material characterization, via machine-learning and high-throughput methods, to ab initio calculation
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actions to evaluate, balancing safety and computational effort. You will compare deep learning–based methods and probabilistic machine learning approaches, and explore extensions to active reachability
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communication with the Swedish marine industry will take place on a regular basis. Main responsibilities As a full-time doctoral student, you will be expected to independently develop numerical methods and codes
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to reach the application form. Interview: In case your application passes the first round, you will be invited for an interview with Prof. Timur Shegai. This interview will be based on your previous research
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methods for creating innovative heat-exchanger geometries with high efficiency and sustainability in mind. You will use open-source machine learning software provided by Meta AI and OpenAI, deployed
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Research Area at the Department of Architecture and Civil Engineering . This research area focuses on developing methods, tools, and strategies to enhance the sustainability performance of the built