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of the strongest research environments for basic plant research in Europe. Research at UPSC covers a wide range of disciplines in plant biology including ecology, computational biology, genetics, physiology
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specialisation of relevance to the subject, and an MSc in engineering or corresponding qualification Additional requirements In order to complete the doctoral programme in question, the following are also required
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Institute of Advanced Neutron and X-ray Science. AMBER is funded by the EU’s Marie Skłodowska-Curie (MSCA) COFUND programme. Approximately 14 postdoctoral fellows will be recruited in this first call, and
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aimed at building a high-performance quantum computer based on superconducting circuits. Our team includes a dynamic mix of PhD students, postdocs, and senior researchers working collaboratively
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of significance for the subject. In ranking qualified applicants, particular weight will be attached to scientific skills. The applicant shall have demonstrated scientific skill through maintaining a high national
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-ray Science. AMBER is funded by the EU Marie Skłodowska-Curie (MSCA) COFUND scheme. Around 20 postdocs will be recruited in the fourth call 2025, with each fellowship lasting 36 months. AMBER has six
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techniques and data analysis to provide a more integrated picture of life processes in the context of health and disease. To be a postdoc fellow at the AMBER programme you will get unprecedented medical
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postdocs will be part of the Research School. The DDLS program has four strategic research areas: cell and molecular biology, evolution and biodiversity, precision medicine and diagnostics, epidemiology and
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research in Europe. Research at UPSC covers a wide range of disciplines in plant biology including ecology, computational biology, genetics, physiology, biochemistry, cell biology and molecular biology (see
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that will be affiliated with one of six possible multidisciplinary projects. The ideal postdocs will have expertise in some of the following areas: computational modeling, computational biology, computational