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The Organic Nanoelectronics group, led by Prof. Simone Fabiano, at the Laboratory of Organic Electronics, Linköping University, is now seeking a highly motivated doctoral candidate to join the
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? Horizon 2020 Reference Number 853--1-27468 Is the Job related to staff position within a Research Infrastructure? No Offer Description The Organic Nanoelectronics group, led by Prof. Simone Fabiano
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/loe ). Your work will primarily be under the guidance of Prof. Daniel Simon (https://liu.se/en/employee/dansi08 ), Organic Bioelectronics group leader at the Laboratory of Organic Electronics, with
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novel machine learning method development. However, you will be part of a larger cross-disciplinary research initiative involving both computer and material scientists, providing excellent opportunities
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energy, energy storage, electronics, medicine, sustainable manufacturing, etc. The main focus for the advertised position is novel machine learning method development. However, you will be part of a larger
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include the design and implementation of finite element multiscale models and machine learning algorithms, analyzing related experimental data, and collaborating with industrial collaborators to validate
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consist solely of research collaboration with a mutual exchange of methodological and technical expertise but must also contain a well-defined training element and a qualification plan must be established
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Trustworthy machine learning is an umbrella term that provides methods and tools to ensure that AI and ML systems are verifiable, robust, secure, privacy-preserving, and ethical, which leads to greater adoption
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master's degree with a focus on social sciences is required. Experience with quantitative methods and a background in computational social science are considered an asset. Upon employment, the assessment
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. Your work will include experimental tumor models, where you will analyze tissues using both histological methods and flow cytometry, as well as RNA sequencing. In addition to your experimental work with