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data. Understanding of NGS library preps, single cell experiments and their limitations will be beneficial besides the knowledge of machine learning methods. A good understanding of biochemistry
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, machine learning, and/or programming in R or equivalent programs is an advantage but not a requirement. The evaluation of applicants primarily hinges on their documented academic qualifications and the
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simulations combined with physics-informed machine learning will also be examined. Several research and industrial partners are a part of this project. The ideal candidate would combine strong computational
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machine learning is an advantage but is not required. Experience with the design and implementation of survey-experiments is an advantage but not a requirement. Alongside developing their own research ideas
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. The research team consisting of eight faculty members, the Industrial Ecology Digital Laboratory, and about 70 researchers, post doctors and PhD students. More information can be found at https
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at https://www.ntnu.edu/indecol . Your immediate leader is Dr. Martin Dorber. Prof. Francesca Verones, Assoc. Prof. Johan Berg Pettersen and Assoc. Prof. Tora Bonnevie are co-supervisors of the candidate