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required: Experience with developing bioinformatic tools (webserver/package) Experience with machine learning Strong background in molecular/cellular biology Experience with analyzing large and complex
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programming skills Experience with developing machine learning models, probabilistic modeling or other bioinformatic tools Any of the following features are highly desirable, but not strictly required
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background and the group at www.healthtech.dtu.dk/Isoform-Analysis Responsibilities Your objective will be to use probabilistic modeling and machine learning to create bioinformatic tools and databases
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knowledge: Sustainability, Genomics, Microbiology Proficiency in programming (python or others) Motivation to learn, contribute and adapt You can look forward to being part of a leading research and education
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cell and spatial RNA sequencing technology. Suitable candidate will acquire in vivo imaging and image analysis skills, collaborate on interdisciplinary projects with international collaborators, present
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of students. It is expected that the Post doc candidate participate in attracting funding for further research in the area. Qualifications Applicants must have a PhD degree or must document equivalent
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of experimental work. You will report to the Group leader, Associate Professor Kathrin Weyer. Your competences You have academic qualifications at PhD level, preferably within one or more of the following areas
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(FTEs) and 8,300 employees, and has an annual revenues of EUR 935 million. Learn more at www.international.au.dk/