386 programming-language-"University-of-Ferrara" Postdoctoral positions in United Kingdom
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international publications in reputable conferences or journals. Excellent written and spoken English skills, demonstrated by high-quality academic writing and communication. The capacity to teach bachelor's
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skills and teaching evaluation Excellent scientific and technical wrting skills Knowledge of: relevant softwares. scientific databases Excellent knowledge of English (C1) / basic knowledge in German
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media, contributions in international conferences in the field of bioanlytical chemistry Didactic skills/experience in internship supervision Excellent knowledge of English (level C1), German (C1) team
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Excellent knowledge of English (C1) Team player with strong social and communicative skills Interest in teaching What we offer: Work-life balance: you have flexible working times Inspiring team: you will be
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SAXS. Excellent command of written and spoken English. Ability to work independently and collaboratively. Well-documented list of publications in renowned, subject-relevant peer-reviewed journals. Oral
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reputation. Experience working with sequence data, programming in python or similar language (e.g. R), and a strong interest in infectious disease epidemiology are essential for the post. For appointment
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. To discuss the post in more detail, please contact Dr Carla Solorzano-Gonzalez, Senior Programme Manager, using the contact details : carla.solorzanogonzalez@paediatrics.ox.ac.uk Only online applications
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shelves, the breakup of which can speed up flow of grounded ice and affect global sea level, and on the highly specialised Antarctic biodiversity. This ambitious programme brings together leading UK (BAS
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support a high-value materials characterisation programme as a postdoctoral researcher. The ability to think outside the box with creativity, along with having the drive and ambition to develop those ideas
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on a new project called TRUSTLINE, which is part of the Learning Introspective Control (LINC) DARPA Program. The project aims to develop machine learning (ML)--based introspection and monitoring