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minimum of 30% research time (exclusive of PhD supervision - every student gives you an additional 5% fraction), but you are encouraged to apply for further buy-out through external research funding
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for employment as associate senior lecturer are candidates who hold a PhD or have equivalent academic qualifications. Priority will be given to candidates who have received a PhD or equivalent qualifications
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to support the holder's research development, the position comes with a large proportion of research time and resources corresponding to one PhD position. Primary consideration will be given
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synthesis, and generative methods for designing new materials with targeted functionalities. The role also involves organizing training and joint activities in AI for materials science, collaborating with
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infrastructures and major users to ensure that data is handled according to the FAIR principles. You will also contribute to the development of European Data Spaces as platforms for applying AI methods to data, and
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circumstances, as well as clinical practice or other forms of appointment/assignment relevant to the subject area. Candidates should hold a PhD degree in molecular biology or a related experimental life science
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or advanced statistical methods, to help explore molecular, imaging, clinical and/or epidemiological data. You will apply, adapt and develop machine learning approaches to provide data analysis support to data
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expected to be able to work and teach in Swedish within four years of taking up the position. The department will support the holder to achieve this. Qualifications Candidates who hold a PhD or have
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to understand information in Swedish. The department will support the holder to achieve this goal. Qualifications Eligible for employment as associate senior lecturer are candidates who hold a PhD or have
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hold a PhD or have equivalent academic qualifications. Priority will be given to candidates who have received a PhD or equivalent qualifications no longer than seven years before the application deadline