Postdoctoral fellowship in Computational and Comparative genomics

Candidates must have a Ph.D. or similar qualifications within computational machine learning, or other relevant research fields. Experience in programming is strongly desirable. Also, experience within the field of biological applications and crop analysis are preferred. The candidate is expected to be enthusiastic about working in an interdisciplinary academic environment conduction research and teaching at the highest international level. The position, therefore, requires a highly motivated scientist who is comfortable working in teams, have good interpersonal skills, as well as a collaborative and open mind-set.