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experiments, and machine learning (ML) to understand and predict multiscale transport phenomena in fuel cell systems. In particular, the postdoc will bridge pore-scale simulations and macroscale performance
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height can be used to derive urban morphology types and assess their links to climate resilience. You will develop and apply data-driven methods to integrate satellite, aerial, and ancillary geospatial
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of burnup simulated doped UO2 fuel (ADOPTTM SIMFUEL). The project is supported by the Swedish Radiation Safety Authority (https://www.stralsakerhetsmyndigheten.se/ ) and in collaboration with Westinghouse and
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should include: a cover letter describing your scientific background and goals for this post-doctoral period (max. one A4 page), a CV including a full publication list, a copy of the PhD certificate
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complete publication list (this can be included in the CV). A copy of your PhD diploma or equivalent degree certificate. We look forward to receiving your application! Where to apply Website https
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) including list of publications Copy of PhD diploma or documentation clarifying the expected date of PhD completion Copies of other diplomas, academic transcripts and/or grades Copy of doctoral thesis and
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suitability for the position, general description of past research and future research interests (no more than two pages), contact information of at least two references, copy of the doctoral degree certificate
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, Curriculum vitae (CV) with publication list, Verified copy of doctoral degree certificate or documentation that clarifies when the degree of doctor is expected to be obtained, Verified copies of other diplomas
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aims to digitalize the sense of smell, laying the foundation for understanding how olfaction works in humans and for building AI models that simulate olfactory experiences. The research will focus
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that your application is complete according to the instructions in the ad. The application must include: CV including relevant professional experience and knowledge. Copy of diplomas and grades from your