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, advanced, and research-level courses, with undergraduate courses primarily in the medical, biomedical, pharmacy, and nursing programs. The department is located at the Biomedical Center (BMC) in Uppsala and
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work with methods for AI/ML applied in life sciences. Strong social skills, good collaboration abilities, and the capacity to take initiative. Good communication skills in English, both verbal and
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analysis or machine learning methods (iii) Programming knowledge in Python (iv) Very good oral and written communication skills in English (v) Strong skills in cooperation and communication Additional
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with our colleagues at the Department of Chemistry – Ångström, we are responsible for the Bachelor and Master programs in Chemistry, and the Master of Science in Chemical Engineering, together
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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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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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in Python programming. Experience with machine learning methods, bioinformatics, and data science. Familiarity with generative AI tools for protein design and protein language models. Knowledge
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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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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