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the work at the university. Qualifications Required: Higher-education degree including subject specialisation (in-depth study of a subject) in computer science, computer systems or information technology
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sense and includes development of new methods (especially using AI (artificial intelligence) and machine learning), structure-based calculations, and analysis of large-scale data in life sciences. Duties
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, and machine learning. Duties Responsibilities may include: Develop new computational, machine learning, and statistical analysis methods for integrating and analyzing large-scale, spatially resolved RNA
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motivated applicant with a strong interest in research and teaching that can complement the ongoing geophysical research in the field of hard-rock seismic applications, machine learning, new acquisition
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established by the faculty board he/she shall be promoted to and employed as Associate Professor. Qualifications Required: PhD in mineralogy or petrology or structural geology. Applicants who have obtained a
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development of society in general that is important for the work at the university. Qualifications Required: PhD in mathematics. Research Expertise and Teaching Expertise. It is necessary that the pedagogical
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therapeutic targets in human tissue cohorts. The team leverages technologies including spatial transcriptomics, single-cell sequencing, and machine learning. A particular area of disease focus for the lab is
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part of the duties. Required qualifications To qualify for appointment as a senior lecturer, you must have been awarded a PhD in statistics or have equivalent research competence, have demonstrated
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reasons prevail. Courses given at basic level are commonly given in Swedish, while courses on advanced- or PhD level can be given in English. Support can be given to new employees who need to learn Swedish