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) environments. Strong programming skills (e.g. TensorFlow, PyTorch, scikit-learn). AI/ML applications in life science. Large-scale data management (databases, data curation, metadata management, FAIR, etc
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KTH Royal Institute of Technology, School of Engineering Sciences in Chemistry, Biotechnology and Health Project description Third-cycle subject: Medical Technology (Joint KTH-KI program) In
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previous experience of the Spatial Transcriptomics method and data analysis as well as knowledge of the programming language R. The PhD student will be at KTH, Department of Gene Technology, SciLifeLab
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strong publication record in relevant fields Proficiency in programming (e.g., R, Python, Bash) Effective communication in English is required for daily work. After the qualification requirements, great
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to teach in Swedish within three years, and if necessary, a language plan will be created in connection with the appointment as support. Eligibility Those eligible to be employed as associate professor
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candidates in the subject area. Some administrative tasks are also included. The assistant professor is expected to be able to teach in Swedish within four years. If necessary, a language plan will be