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programming, modelling and data analysis skills in Python and/or R. Experience with the formulation and implementation of mathematical optimization problems can give you a competitive edge. The candidate should
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temporal and spatial controlled drug release systems through stimuli-responsive materials. These tasks are part of a larger Empa's initiative, called Wound Booster , involving several PhD students working
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willingness to learn A solid foundation in experimental research, data analysis, and scientific methods Interest in machine learning and data-driven approaches to materials discovery Strong interest in hands
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strong willingness to learn A solid foundation in experimental research, data analysis, and scientific methods Interest in machine learning and data-driven approaches to materials discovery Strong interest
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overcoming specific and recurrent issues in shaping operations of our industrial project partner. At the interplay between fundamental and applied research, the goal of the PhD project is to understand the how
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-troversial, particularly in the setting of "low grade" DS. Currently, DS is measured based on static radiographs, which do not capture the dynamic nature of this instability. Basic data sets on a dynamic
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organic chemistry Strong analytical skills for materials and data analysis Creative scientific mindset Full proficiency in written and oral English, French is an asset Self-motivated, critical-thinking
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implementation of algorithms for data analysis and phase-field simulations. Your profile Master's degree in physics, materials science or a related discipline Enthusiasm for the research areas listed above Self