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understanding of district heating and cooling, renewable energy integration, multi-energy systems, and energy conversion and storage technologies. You have strong skills in programming, modelling, and data
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programming, modelling, and data analysis skills. Experience with formulating and solving mathematical optimization problems is an asset. Proficiency in English is required; good comprehension and oral skills
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Title: Position Type: Student programs Position Location: Lausanne, Vaud 1015, Switzerland Subject Area: Fluid Mechanics Appl Deadline: 2025/12/15 11:59PM (posted 2025/07/24) Position Description: Apply
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, potential toxicity and ubiquitous abundance in the environment. Understanding and evaluating their emission pathways is essential to plan and implement effective measures to reduce emission of PFASs. In
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of these research topics. Your position The successful PhD applicant will develop a PhD research program in the research fields listed above, or a closely related field, in close collaboration with the daily
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. Good knowledge of English (oral and written) is essential. Experience in materials research is important, experience in nanofabrication, micromechanical testing, and numerical simulations is desirable
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Doctoral School candidates must submit their application file to the doctoral program of their choice within the deadlines specified by the latter. Some programs publish open positions related
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data analysis (e.g., in Python, MATLAB, or similar) or in analyzing scattering data is desirable. Proficiency in English (German is a plus). Enthusiasm to engage in multidisciplinary and international
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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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spoken English is a must. Candidates should be able and willing to conduct fieldwork over extended periods of time under harsh climatic conditions in remote environments, and should have experience and