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of Lund University, and is responsible for education and research within medicine and healthcare. Our academic programs are closely linked with the healthcare system and are firmly anchored in
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the various programs and in the platform’s management team, as well as in the practical laboratory work within the unit. You will also actively participate, interact, and communicate knowledge regarding
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training program in data-driven life science. This provides opportunities to develop advanced computational skills, participate in interdisciplinary research, and build a strong network within the SciLifeLab
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! The Faculty of Medicine is a part of Lund University, and is responsible for education and research within medicine and healthcare. Our academic programs are closely linked with the healthcare system and are
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Proficient in Python Good knowledge of database modeling Excellent communication skills in English Preferred Qualifications Knowledge of Ruby programming Experience of both frontend and backend development
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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
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• Computational Science or Data Science • Compute-intensive Statistics or Applied Mathematics Proficiency in a relevant programming language, e.g., Matlab, Python, R, C/C++ is expected and practical or research
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immunofluorescence, and fluorescence microscopy. As a person, it is important that you are a team player and highly communicative, but that you also have the capability to independently plan your time, work in the lab
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programming language (Python, R, or Matlab). Experience in medical image analysis. Excellent English communication skills, both spoken and written, as it is required in daily work. Preferred qualifications
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, and with close contact with students through the department’s involvement in engineering and master’s programs. Our research and teaching are conducted within seven divisions with different research