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the equivalent of at least 90 higher education credits in courses relevant to technology. This must include at least 30 credits at advanced level and the student must have demonstrated the ability to work
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background in Machine Learning, with the ability to understand and extend current research Solid programming and engineering skills Comfortable working with modern development tools and practices Strong
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research combining computational biology with experimental validation. Selection The selection among eligible candidates will be based on their ability to successfully complete the PhD studies. Key criteria
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independently, with the ability to take initiative and move projects forward, but also collaborative and comfortable working in teams with diverse backgrounds. What do we offer? Choose to work at KI-Ten reasons
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require independent work as well as extensive collaboration with other experimental groups. Fluency in both oral and written English is necessary. Documented ability to analyze and present results orally
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, or similar environments. A strong interest in method development at the interface between biology and artificial intelligence. Strong collaborative skills, analytical ability, and the capacity to work
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Ref IMT-2026-00023 We have the power of over 50,000 students and co-workers. Students who provide hope for the future. Co-workers who contribute to Linköping University meeting challenges of today
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data science. Have excellent communication skills in English, both written and verbal. Have good time-management and planning skills, and a proven ability to operate independently. Have a strong and
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skills, particularly in Python and/or R · Experience in machine learning and AI · Fluency in spoken and written English · Ability to work independently as well as in interdisciplinary teams Meritorious
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assembled genome construction, gut microbial genome, and gene database development. Comfortable working in a diverse, inclusive, interdisciplinary, and highly collaborative environment. Ability to navigate