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models, whilst respecting the specific spatial structure induced by river networks. - Cleaning, structuring and analysing historical long-term monitoring data (approx. 200 sites). - Adaptation and
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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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internal equity to ensure fair compensation relative to the university’s broader compensation structure. We are committed to offering competitive and flexible compensation packages to attract and retain top
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Additional Information Eligibility criteria Knowledge PhD in Biomaterials, Biomedical Engineering, Bioengineering, Materials Science or a closely related field. Strong background in biomaterials, tissue
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This is a re-advertisement of vacancy 186587, previous applicants need not apply. About this role The Li-air battery represents a step-change in battery technology, with a theoretical energy up to
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biologic drug development - Tissue engineering and regenerative medicine - Translational studies utilizing human and animal tissues Successful candidates will possess experience with one or more of the
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-disciplinary environment? Information Many of the most challenging problems in science and engineering involve physical systems that evolve over time while exhibiting rich mathematical structure. Fluid flows
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chemistry and physics techniques. What you will do You will work in a small team, including one or more PhD students, towards the goal of designing, analyzing and testing novel device structures that exploit
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/1696192/aab7jokzk7x4paq7m2y9pa2p6.Wetzlinger-2022-NAHS.pdf Job Specifications For PhD applicants: Excellent Master’s degree (or equivalent) in computer science, engineering, or related disciplines
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, Mathematics, Bioengineering or a related discipline PhD in Physics, Applied Science, or a related discipline Experience in statistical physics, stochastic processes and/or data analysis methods Strong interest