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at the Wallenberg Laboratory. The group is part of the national Data-Driven Life Science (DDLS) program, funded by the Knut and Alice Wallenberg Foundation. Their research focuses on developing computational methods
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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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, medical, technical and natural science background and our daily work is more and more dependent on progress in advanced softwares, scripts, programming, data transfer etc. Our workflows, data handling
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, medical, technical and natural science background and our daily work is more and more dependent on progress in advanced softwares, scripts, programming, data transfer etc. Our workflows, data handling
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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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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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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