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This PhD position is part of the WASP-WISE NEST project RAM³ – a multidisciplinary research effort at the intersection of machine learning and materials science. The project brings together PhD
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totaling 60 ECTS credits) and join an international research team with backgrounds in sociology, political science, network science, statistics, and machine learning. More information on the PhD program can
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to agreement. As a PhD student you will be enrolled in a highly qualified education within a thriving research environment. For more information about our PhD program, please visit our information page. You will
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about a specific subject see, General syllabus for the Board of the faculty of science and technology Further information Employment as a PhD student is limited to 4 years, teaching and other department
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. The PhD student will be enrolled in a doctoral programme of Chalmers and is jointly supervised by supervisors from the academic and industry sectors. Further information can be obtained by contacting Docent
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. Terms of employment The position is intended to result in a doctoral degree. The main task of the PhD student is to pursue their doctoral studies, including participation in research and doctoral courses
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Experience with performing laboratory experiments Ability to work with large data sets (> 500 GB) Numerical modelling Main responsibilities Independent research and research training (80% of time) Support for
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connection with your admission to the doctoral program, your employment as a PhD student is handled. More information about the doctoral studies at each faculty is available at Doctoral studies at Linköping
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will represent the group in different occasions, both in Sweden and worldwide, hence very good knowledge in English is a must. Further information Employment as a PhD student is limited to 4 years
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occasions, both in Sweden and world-wide, hence very good knowledge in English is a must. Further information Employment as a PhD student is limited to 4 years, teaching and other department duties may be