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practical lab position, so applicants with only (bio-)informatics background will not be considered. For inquiries, please contact: Prof. Thomas Weide ( weidet@uni-muenster.de ; Thomas.Weide@ukmuenster.de
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phases Your profile Excellent Master’s or Diploma degree in medical physics, physics, computer science, medical engineering or a closely related field with a strong interest in data science and
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Areas of study Neuroscience, Physics, Applied Computer Science, Bioinformatics, Computer Science, Engineering Informatics, Medical Informatics, Chemistry, Analytical Chemistry, Inorganic Chemistry
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sustainable bioeconomy. The four PhD projects are: Your Profile: Master’s degree (or equivalent) in computer science, applied mathematics, physics, engineering, biology, plant and agrosphere sciences
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Several PhD positions (f/m/d) in International Research Training Group (iRTG) limits2vision Full PhD
; experience in disciplines including biochemistry, genetics, computer science, or data science, will be considered as assets. Moreover, candidates should be highly motivated, flexible, and integrative
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, computational biology, computer science, epidemiology/public health studies and related subjects are invited to apply for the international PhD programme. PhD students are supported by a Thesis Advisory Committee