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Nature Careers | Port Saint Louis du Rhone, Provence Alpes Cote d Azur | France | about 2 months ago
equipped biophysical analysis platform. 4) Nanobody production. 5) X-ray crystallography facility and 6) Cryo-electron microscopy facility equipped with a Glacios Thermofisher TEM. Requirements A PhD degree
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can be found at the URL https://math.univ-cotedazur.fr/~ingremeau/PostdocNuHeMiBa.pdf We are looking for a candidate with a PhD in applied mathematics, with a strong focus on numerical analysis
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languages and in R is also required. • Application deadline: 1st August 2025 • Required experience: 2 - 8 years after PhD. • Duration of the contract: 36 months • Salary: Upon experience and according
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to and support scientific communication activities (e.g. websites, presentations, posters, press, and general public) Key Skills, Experience and Qualifications Master or PhD in a relevant scientific
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contact Prof. Ralf Seppelt, Your profile You'll be able to demonstrate experiences in management environmental data in different projects, and meet the following qualifications: PhD in Data Science
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profile PhD in an environment-related field followed by experiences as PostDoc in related interdisciplinary research contexts, optimally with research that aimed to work on environmental evidence synthesis
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publications relevant for the field of the position Copies of diplomas List and short description of external research funding acquired over the past 5 (five) years List of PhD theses supervised List of teaching
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defense of their PhD thesis by mid-September, 2025. In addition, applicants must be fluent (reading, writing, and speaking) in English. A short list of applicants will be selected based on their CVs
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laboratory and collaborative meetings. Collaborate actively with scientists performing wet bench experiments (PhD, postdocs). Interact productively with other bioinformatic engineers or researchers on Institut
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, or examples, these aspects are of utmost importance and need to be explored to provide convincing and well-grounded arguments [1]. This PhD program will propose to explore advanced methods to detect implicit