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. Requirements: Prior experience in developing synthetic biology tools for fine-tuning gene expression in yeast (P. pastoris or S. cerevisiae). Proficiency in molecular biology, yeast engineering and culture
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Look forward to: Working independent in a highly motivated international team in a pleasant working atmosphere Highly funded and cutting edge technology Intensive interaction with other excellent world
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, Neuroscience, Chemistry and Applied Chemistry, Bioengineering, Mechanical Engineering, Archaeology, or Cognitive Science. Challenge Scientific and Technological Innovation through fusion of disciplines
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, [email protected] . You can read more about the department of Health Technology and the Section for Bioinformatics at www.healthtech.dtu.dk/english and www.healthtech.dtu.dk/english/research/research-sections
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@dtu.dk . You can read more about the department of Health Technology and the Section for Bioinformatics at www.healthtech.dtu.dk/english and www.healthtech.dtu.dk/english/research/research-sections
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family and places great emphasis on an equal and inclusive work culture. How to apply Please send us your application documents containing • a CV with publication list and contact information
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learning engineers. Your main tasks will encompass the development of novel machine and deep learning algorithms to understand, predict, and treat human disease. Using multi-modal genomic, image, and patient