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for excellence . Equality and diversity are substantial foundations in all activities at Chalmers. Application procedure The application should be attached as PDF files, as below: CV Personal letter Other
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of climate change impacts, Understanding of riparian buffer management, Ability to read Swedish, Participation in collaborative project teams We are looking for a candidate with good personal skills, who is
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skills in English A strong publication record within artificial intelligence indicative of a budding independent research program An open and collaborative personality Eagerness to mentor Doctoral students
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regions by developing interpretable and efficient methods in comparative pangenomics, leveraging machine learning methods, statistical analysis and efficient algorithm and data structures (https
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publications. Details of previous teaching and pedagogical experience. Personal letter A brief introduction about yourself. A summary of your previous research fields and key research outcomes. An outline
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). Therefore, the successful postdoc will have excellent opportunities to develop a large collaborative network and address broad questions that no individual lab can tackle alone. The postdoc will be primarily
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at: www.ftf.lth.se , www.nano.lu.se , https://kaw.wallenberg.org/en/research/semiconductor-bandgap-key-future-green-electronics, https://c3nit.se/ Subject description The purpose of this project is to develop a data
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multidisciplinary fields, participation in academic conferences, experience from scientific publishing and other personal and professional development. The project will be carried out at Luleå University
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great emphasis on both technical ability and personal suitability. Consideration will also be given to good collaborative skills, drive and independence, ability to clearly communicate research, and how
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reasons for having an older doctoral degree – such as taking statutory leave – then these may be taken into consideration. We are looking for someone with a doctoral degree in chemistry, materials science