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a new research collaborator with a PhD in building technology, preferably in the field of building materials and/or building envelope performance and/or building renovation. The candidate must be
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of Singapore, and EPFL (Switzerland). These partners are looking for talents in several domains of machine learning, AI, computational biology, and biology, to develop PhD theses across the main pillars
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to teaching activities may be discussed, including the possibility of supervising Master’s students. Profile Applicants should have: • a PhD in physics or related fields, completed or expected to be completed
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special issues. Contribute to the supervision and the day-to-day scientific support of the PhD student working on WP1. Required profile Education and experience PhD in geography, urban planning, spatial
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students and fellow postdoctoral researchers within the laboratory and across EPFL’s international research network. Profile PhD degree in environmental engineering, microbiology, chemical engineering, or a
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of research Participate in education, and PhD and master student supervision We offer A stimulating and international working environment Competitive salary and excellent working conditions – more information
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-reviewed journals; Support in funding acquisition; Contribute to laboratory activities, including PhD and Master student supervision and teaching assistance. Profile PhD in architecture, civil engineering
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EPFL, the Swiss Federal Institute of Technology in Lausanne, is one of the most dynamic university campuses in Europe and ranks among the top 20 universities worldwide. The EPFL employs more than
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EPFL, the Swiss Federal Institute of Technology in Lausanne, is one of the most dynamic university campuses in Europe and ranks among the top 20 universities worldwide. The EPFL employs more than
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EPFL, the Swiss Federal Institute of Technology in Lausanne, is one of the most dynamic university campuses in Europe and ranks among the top 20 universities worldwide. The EPFL employs more than