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performed in the course of the Master's thesis. For the BSc-PhD programme, applicants must hold a Bachelor's or equivalent degree in biology, chemistry, electrical engineering, mathematics, medicine
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experience with quantum technology Strong mathematical education, in particular in relation to linear algebra Strong programming experience Ability to effectively communicate in written and spoken English
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The Max Planck Institute for Neurobiology of Behavior – caesar • | Bonn, Nordrhein Westfalen | Germany | 5 days ago
an exciting opportunity to outstanding Master's degree holders (or equivalent) from any relevant field (life sciences, mathematics, physics, computer science, engineering, etc.) to be immersed in a stimulating
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at the University of Warwick, offers an exceptional opportunity for students from physical sciences, life sciences, mathematics, statistics and engineering backgrounds who are passionate about applying their
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Systems (HetSys), based at the University of Warwick, offers an exceptional opportunity for students from physical sciences, life sciences, mathematics, statistics and engineering backgrounds who
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Systems (HetSys), based at the University of Warwick, offers an exceptional opportunity for students from physical sciences, life sciences, mathematics, statistics and engineering backgrounds who
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., computer science, mathematics, electronics, medical devices, bioinformatics, or law); fluency in English. Creativity, taking pleasure in research, and a sense for research quality and ethical behavior in research
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with high-dimensional, often noisy, data sets; and mathematical modelling approaches that reduce the dimensionality of parameter spaces and produce mechanistically realistic, experimentally testable
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at addressing a new class of outstanding PhD researchers from all over the world. Successful candidates will receive multiple doctoral degrees. Course organisation The EDLE programme is carried out with
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mathematical integration, with the desired outcome being to increase the water and/or nitrogen use efficiency of Australian cropping systems. We propose to use a range of emerging data science approaches within