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and other team members in all aspects of the project. Be interested in internalization (e.g. by helping to build up an international research network and spending some time abroad at a relevant
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study programmes to match the skills in demand. We hope that you will help us to build the sustainable companies and societies of the future. We are recruiting a PhD student that, together with senior
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aims to build predictive and physical binding models of protein – DNA interactions using high-throughput and quantitative biochemical binding data across hundreds of thousands of sequence variants
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The Organic Photonics and Electronics Group at Umeå University, Sweden (www.opeg-umu.com ). The selected PhD student will be an active member of the European Marie Sklodowska-Curie Training Network
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fast-paced research environment, a structured and organized approach is highly valued. You will work in a team of researchers from diverse backgrounds, including PhD students and postdocs, and should
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staff position within a Research Infrastructure? No Offer Description Background Information Marie Skłodowska-Curie Doctoral Networks are joint research and training projects funded by the European Union
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. Our research integrates expertise from machine learning, optimization, control theory, and network science, spanning diverse application domains such as energy systems, biomedical systems, material
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) Computer Science/ Mathematics/Physics and at the second cycle level, 60 credits in Life Science, Computer Science Mathematics, Physics or Bioinformatics including a 30 credit Degree Project (thesis). Additional
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for Quantum Technology (WACQT, http://wacqt.se ). The core project of the centre is to build a quantum computer based on superconducting circuits. You will be part of the Quantum Computing group in the Quantum
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learning and development for all employees. We are also committed to building a safe and positive environment for all employees through mutual respect and tolerance. The Department of Translational Medicine