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until a suitable candidate who fulfils all requirements is recruited. Selection process Required documents: Professional curriculum vitae, including: list of publications with the indication of a maximum
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have the right to: request access to your data, receive a copy of it; rectify (correct) it; delete it; limit its processing; transfer it; lodge a complaint to the supervisory body; withdraw your consent
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of higher education studies; conferring the doctoral / postdoctoral degree / title of Professor, specialist title; recognition of a foreign diploma as equivalent to the relevant Polish diploma, copy of a
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computational mesh generation. In this role, you will apply your software engineering skills to develop and validate computational results that support large-scale, physics-based simulations across a variety of
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an essential process for life. When a cell is at a diseased state, the interaction landscape can drastically change. We develop chemical tools to investigate these interactions to understand health and
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environment. The successful candidate will develop and apply advanced machine learning techniques—including multimodal AI, computer vision, and large language models—to complex scientific and engineering
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infrastructure, modern workspaces, and very well-equipped labs Contact details: For questions regarding eligibility or the application procedure, please contact: Dr. Ana Depetris Chauvin | fellows4fungi@leibniz
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Cloud Fraction scheme into UKESM (UK Earth System Model) and design sensitivity experiments to test its effect, and lead the further improvement of cloud fraction scheme for climate simulations. This post
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in Direct Ink Writing of Thermo-Electric Materials The Advanced Manufacturing Lab (am|z) at the Department of Mechanical & Process Engineering (D-MAVT) at ETH Zurich develops advanced manufacturing
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copy of our Job Description Full details of the role and the skills, knowledge and experience required can be found in the Job Description document, provided at the bottom of the page. This document will