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KTH Royal Institute of Technology, School of Engineering Sciences Job description The AICell Lab (https://aicell.io ) in the department of Applied Physics at KTH and Science for Life Laboratory is a
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. A central goal is to integrate spatial imaging data with time-resolved molecular measurements, while incorporating physical and biological constraints directly into the model architectures
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, engineering physics, physics, machine learning, or in a similar subject, or have completed at least 240 credits in higher education, with at least 60 credits at Master’s level including an independent project
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suitability to perform one’s duties. Assessment criteria In the appointment process, special attention will be given to research skills. Teaching skills will also be considered. The assessment of research
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University require the ability to collaborate and the general ability and suitability to perform one’s duties. Assessment criteria In the appointment process, special attention will be given to research and
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lies in biology, it intersects with other disciplines such as medicine, computer science, mathematics, chemistry, engineering, and physics. The department employs over 200 staff members, including
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, Computer Science, Data Science, Engineering, Physics, or equivalent Extensive (5+ years) experience of applying and/or developing advanced machine learning and AI methods in internationally competitive life science
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should have: a Ph.D. or similar working experience in Image analysis, Bioinformatics, Computer Science, Data Science, Engineering, Physics, or equivalent. Extensive (3+ years) experience of applying and/or
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a part of the selection process. We ask all candidates to upload a CV, diplomas, course transcripts and to enter the names and e-mail addresses of at least two references. You are welcome to submit
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mandatory requirement for English equivalent to English B/6. Selection In order to succeed as a doctoral student at KTH you need to be goal oriented and persevering in your work. During the selection process