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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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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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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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, 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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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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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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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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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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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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deems relevant for the doctoral position. Good knowledge of English in both speech and writing is a requirement. The applicant must be able to teach in English. Additional qualifications A strong