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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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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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individual case. Additional requirements: Very good oral and written proficiency in English. Master’s level studies in a program with good preparation for research and appliction of bioinformatical approaches
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track record, including high-impact and highly cited publications. Good knowledge in English, oral and written. Additional merits Expertise in web programming and web application development. Expertise in
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areas, such as scientific and educational development, leadership development as well as patent and innovation support. The position is part of the SciLifeLab Fellows program and will be placed within
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National Program for Data Driven Life Science (DDLS). About the DDLS Fellows program Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems
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on documented qualifications regarding programming, machine learning, AI tools for image analysis. Knowledge of Python, Matlab, C/C++ or similar programming language is an advantage. Consolidated experience with
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biological systems and processes at all levels, from molecular structures and cellular processes to human health and global ecosystems. The SciLifeLab and Wallenberg National Program for Data-Driven Life
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Uppsala and in Sweden at large. For information about the SciLifeLab fellow program, see https://www.scilifelab.se/research/#fellows. SciLifeLab Fellows are also part of a broad national network of future