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markets and digital technologies in Luxembourg, together with several of the EU's main institutions and stakeholders that shape our energy transition. Located at the heart of Europe, the group consists
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with colleagues at DTU and IIT Bombay, as well as with academic and industrial partners globally. The main purpose of this PhD position is to develop, implement and assess machine learning models
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performance, design a reactor to restore DES to its original state before recycling, and investigate utilisation of by-products from the mixed chemistry batteries. For different battery chemistries
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plasticity or synchrotron techniques is beneficial but not required. You must have a two-year master's degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year master's
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) degree in Computer Science or a related course. They should demonstrate aptitude for original research. Scholarship: The studentship is for 3 years and will provide an annual tax-free stipend of £22,780
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and enjoys working with complex, multi-disciplinary topics. In summary, the main tasks of the PhD position are: To perform research in power systems balancing with a focus on European power and energy
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an academically relevant background in Structural Engineering or equivalent. You must have a Master's degree in structural engineering or equivalent. Your course of study must correspond to a five-year Norwegian
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back-end integrated circuit design. Additionally, you will have access to substantial computing resources to develop and experiment with LLMs. Key responsibilities As a Ph.D. candidate, your primary
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), immunofluorescence and microscopy Prior experience in RNA biology, NGS and/or Metabolism is an asset Understanding of common bioinformatics approaches and experience with one of the main programming languages for data
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touch with the principal investigator (PI), Dr. Georg Pfusterschmied (georg.pfusterschmied@tuwien.ac.at ). Your Profile: Educational Background: Master's or Diploma degree in physics, chemistry