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science. The student will work closely with Dr. Martina Pannuzzo (Associate Principal Scientist), Dr. Felix Faber (Associate Principal Scientist) and Dr. Suzy Jones (Associate Principal Scientist
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background, Master's degree in information systems or related fields. Or, have completed at least 240 credits in higher education, with at least 60 credits at the Master’s level, including an independent
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Merits: Experience with Matlab Prior coursework or project experience in railway mechanics Background in signal processing Knowledge of machine learning techniques Main responsibilities Your primary
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of data-driven precision tools, seeking to improve on current paradigms for clinical risk predictions and individualized diagnostic paradigms. Improving atherosclerotic risk prediction has been a primary
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the main supervisor for this position, he is a new DDLS-fellow with background from Massachusetts Institute of Technology and Chalmers University of Technology. Professor Rickard Sandberg at the Department
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main task of the PhD student is to pursue doctoral studies, which includes participation in research, seminars and courses. Qualifications: The applicant is required to have completed a university level
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, andrevealing humans' behaviour and intent in these environments. The main focus of this PhD position will be on exploring novel experience assessment methods within Theme A, Additionally, the work may expand
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Lepidoptera and plant ecology Statistics and programming (e.g. in R) The application should consist of the following (all files in PDF-format): Curriculum vitae including publication list, Master [alternatively
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Lepidoptera and plant ecology Statistics and programming (e.g. in R) The application should consist of the following (all files in PDF-format): Curriculum vitae including publication list, Master [alternatively
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two pages) 2. CV 3. Diplomas of bachelor and Master level degrees 4. Bachelor/Master theses work/other relevant publications 5. Other merits of relevance for the position 6. Contact information to two