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for the development of scientific and personal skills. Candidates ideally combine several of the following skills and qualifications: A very good M.Sc. degree (or equivalent) in biology, physics, computer science
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on conferences and in publications Requirements Master’s degree in physics or chemistry, computer science or equivalent Interest in Physics and Machine Learning Good written and spoken English Ability to work both
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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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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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: university degree (Master or diploma) in physics, biology, computer science, or a related field excellent background in RDM principles and FAIR data practices, ideally gained in a scientific environment
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to apply for the vacant position. Applications from severely disabled persons will be given preference if they are equally qualified ( sbv.desy.de ). You can find further information here: https
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. thesis supervision Requirements: university degree in Computer Science, Traffic Engineering, Computational Linguistics, Mathematics, or a related field solid knowledge in one of the relevant research areas
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and developing dependable automated driving systems based on software and systems engineering approaches. The Institute for Software and Systems Engineering (ISSE) is one of the two computer science
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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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the information available in ptychography data About you: Master's degree in Physics/Mathematics/Computer Science or related subject Willingness to familiarize yourself in depth with new topics Good capacity