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- experience in programming (e.g. Matlab and/or Python) - experience in fieldwork - proficiency in scientific writing - skills in communicating with people who have different backgrounds Your workplace
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processes to human health and global ecosystems. The SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS) aims to recruit and train the next generation of data-driven life
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, and second-life applications, ensuring both scientific impact and industrial relevance. As a PhD student, you devote most of your time to doctoral studies and the research projects of which you are part
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of the project, you will take part in designing studies and have the opportunity to develop your ability to plan, conduct, and communicate research. Your work will include both literature reviews and empirical
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postgraduate education within Medical Science. The employment When taking up the post, you will be admitted to the program for doctoral studies. In connection with your admission to the doctoral program, your
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. The candidate should have strong mathematical skills and experience in machine learning, programming, and the analysis of visual data. Furthermore, you are able to work with a long-term perspective and drive
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manner, takes responsibility for their tasks, and maintains a high standard of quality in their work. You take initiative, can work independently, and possess strong analytical skills with a scientific
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- 12:00 (UTC) Country Sweden Type of Contract To be defined Job Status Full-time Hours Per Week 40 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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application! The Wallenberg Wood Science Center (WWSC) is a major research initiative between three leading Swedish universities: KTH Royal Institute of Technology, Chalmers University of Technology, and
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://visualiseringscenter.se . You will follow the study plan provided by Technology and Science Education Research (TekNaD), at the Department of Behavioural Sciences and Learning (IBL). The PhD student will be part of