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of the department’s programs and courses, from undergraduate to advanced levels. 50% of the position is dedicated to teaching, including administrative duties. 50% is dedicated to research. The incumbent is expected
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biologists from private sector organizations are not required to provide a current research program at the time of application. However, applicants should be able to demonstrate that they can establish a
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Malmö. We are united in our efforts to understand, explain and improve our world and the human condition. Lund University welcomes applicants with diverse backgrounds and experiences. We regard gender
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application! We are now looking for a bioinformatician to join Clinical Genomics within the Department of Cell and Neurobiology. The position Duties will involve upkeep and further development of existing
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for Advancing Research Assessment). Qualified computational biologists from private sector organizations are not required to provide a current research program at the time of application. However, applicants
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to building our profile in modern computational statistics and statistical machine learning, as exemplified in our new joint Master’s programme with Computer Science. In the position you are entitled to a
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to understand information in Swedish. The department will support the holder of the position to achieve this. Qualifications The applicant must: have a doctoral degree in a subject area relevant for the position
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the development and administration of study programs and courses in the field of Human Ecology. In addition, teaching and administrative tasks may also involve courses and study programs at the interface of Human
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: Permanent employment which begins with possible trial employment Period of employment/Start date: The start date is as agreed Scope: Full time Number of positions: 1 Closing date for application: June 10
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experience in programming. We offer the opportunity to develop and expand in different areas of work when it is in line with the project goals. The candidate will study and integrate large data sets and