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. The tasks will require a high degree of innovativeness, command of multi-scale asphalt and binder testing methods, as well as knowledge of the pavement design concepts. Experience in material modeling and
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the position is filled. Reference letters can be submitted after this date. • Knowledge of French is not a requirement. Applications can be done via the EPFL platform: https://careers.epfl.ch/job/Lausanne
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programming and statistical knowledge, including machine learning A strong academic record Excellent communication skills with a good command of the English language Beneficial skills for this position include
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. Experience in modelling and analysis of energy systems. Excellent knowledge of English. Good command of German is a plus. Strong analytical skills, self-driven personality and willingness to learn. Excellent
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international conferences will require a good knowledge of English. Ability to work independently, as well as to contribute to a collaborative lab culture. We offer We offer a stimulating role in a vibrant group
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universities specialising in science and technology. We are renowned for our excellent education, cutting-edge fundamental research and direct transfer of new knowledge into society. Over 30,000 people from
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direct transfer of new knowledge into society. Over 30,000 people from more than 120 countries find our university to be a place that promotes independent thinking and an environment that inspires
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science through the combined expertise and knowledge exchange of international research consortia. Molecular motors are envisaged as the fundamental building blocks of functional machines on the nanoscale
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publications and on conferences active interactions and support of scientific collaborators and industrial partners Your profile PhD degree in chemistry, physics or materials science deep knowledge in X-ray
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Swiss Federal Institute for Forest, Snow and Landscape Research WSL | Switzerland | about 1 month ago
intelligence methods for image classification is an advantage (e.g. CNN). Sound ecological knowledge of community and habitat characteristics in Switzerland is an advantage. You work comfortably with statistical