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period is 3 years; in addition, application for renewal is possible for up to 6 months. Scholarship Value Please find information on the current funding here . Application Papers Application forms and
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provide considerable training in chronobiology, signal transduction in plants, microbiology, and data analysis and interpretation. As part of the “MicroClock” programme funded through an ERC Synergy grant
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for applications The information listed here is subject to change without notice. Where we have listed information about jointly run scholarships programs, please also see our partners' websites
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contact details of 3 referees Applications should be submitted in English. Enrollment at the University of Basel for the successful candidates is mandatory. For more information, please contact Professor De
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of the grading system used (credit system) + conversion scale to a 100-point scale. Students are not allowed to calculate this information themselves. If needed, students are advised to contact the student
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measurements in particle physics. Many of my projects are informed directly by current measurements, e.g. addressing new or unexpected features seen in the data. Others focus on improving the formal accuracy
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statistics. You will also collect data independently, conduct surveys and organise workshops with companies, policymakers and academics, under the supervision of two academic promoters. In addition, you will
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with existing population and demographic monitoring data held by the British Trust for Ornithology. Statistical modelling approaches will examine spatiotemporal changes in bird distributions in response
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Max Planck Institute of Immunobiology and Epigenetics • | Freiburg im Breisgau, Baden W rttemberg | Germany | about 7 hours ago
deadline More information about the programme and on how to apply can be found on our website . Tuition fees per semester in EUR None Combined Master's degree / PhD programme No Joint degree / double degree
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treatment. ENDOTRAIN will train a new generation of interdisciplinary experts who merge clinical endocrinology, AI, data science, engineering, ethics and law into an integrated field of digital endocrinology