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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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of the optimal cooling technology. Integrate these digital twins into other platforms, such as mobile applications. Extend the digital twin work for heat stress predictions of humans to assess
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environment. Application Interested candidates should submit their dossier (one single pdf) containing a motivation letter describing your experience and interest in the position, a CV and contacts for three
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components, oxidation control, as well as the feasibility and application potential of multi-constituent nanopastes. This PhD project runs over 4 years with a final degree granted by ETH Zurich.
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Your position The successful applicant will work under the supervision of the Principal Investigator (Prof. Dr. Maria Katapodi) and collaborate with members of the CASCADE Consortium, a
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for integrated carbon capture and conversion technologies. Your tasks Synthesize and characterize materials for heterogeneous catalysis applications Develop synthesis-structure-properties relationships to optimize
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science, and/or nanoscience. Prior experience with scanning probe microscopy, preferably with a focus on magnetic nanostructures or spin resonance studies, and programming in Python would be advantageous