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Field
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master’s degree) in a relevant field such as robotics, electrical engineering, mechanical engineering, biomedical engineering, or computer science. The candidate is expected to have solid knowledge in most
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degree in engineering, preferably supported by first academic publications Documented experience with simulation and Digital Twins Strong mathematics skills and practical knowledge in 3D modelling Strong
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Aarhus BSS Graduate School, Aarhus University invites applicants for a PhD Scholarship in connection with the research project Econometrics at the PhD Programme Economics and Business Economics. The
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computer science. The candidate is expected to have solid knowledge in most of the following areas: Robotics Control theory Deep Learning & Machine learning Modelling and control of soft/continuum robots Experience
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equivalent to a two-year master's degree in mathematics, physics, computer science, electrical engineering or closely related fields with a focus on computer vision, machine learning or robotics A strong
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Science, or related disciplines. You have an aptitude for experimental research and data analysis. Experience with programming and/or mathematical modelling is an advantage. Excellent written and oral
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opportunities to participate in professional and personal development training. Through your work you will gain a unique skill set at the interface between modelling and prototyping of electrode materials
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computer science, mathematics, or a related field will be considered an asset. The position requires the ability to work independently as well as in collaboration with colleagues in a dynamic and international