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construction. The PhD research will focus on the development of design approaches for building elements that can meet functional performance criteria across multiple lifecycles enabling reuse; adaptability; and
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field (e.g., Environmental or Soil Sciences, AI, Data Science, Geosciences). Basic knowledge of soil science and strong interest in AI and soil health. Experience with data analysis/modelling and
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with data analysis/modelling and programming (R or Python). Advantageous: geostatistics, digital soil mapping, remote sensing, GIS, big data or cloud tools. Proactive working style, strong communication
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of soil erosion and land management in phosphorus transport and eutrophication, using monitoring data from the EU Water Framework Directive to calibrate and validate advanced sediment routing and modelling
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. Empa is a research institution of the ETH Domain. Your tasks Amorphous materials play a key role in sustainable catalysis and energy conversion, but their disordered atomic structure makes them difficult
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job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description PhD Position in Advanced
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the synthesis of model materials as well as their operando characterization and molecular modelling to identify new CO2 sorbent families and to establish structure–performance relationships Concerning
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biological mechanisms is necessary to establish mechanistic models for tree distribution and growth that will improve our predictions of tree species' range-shifts as well as productivity changes within
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. Empa is a research institution of the ETH Domain. We offer an opportunity to join an exciting project at our Structural Engineering Laboratory , within the Advanced Structural Materials and Systems (ASMS
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cohorts, advanced technologies and established cooperations and strives to synergistically improve structural training on European level. LipidBRIGHT will nurture the development of young, broadly-trained