82 programming-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" "https:" "https:" positions at Leibniz
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the Forschungsverbund Berlin (https://www.fv-berlin.de/ ) and the Leibniz Association www.leibniz-gemeinschaft.de . You can find more details on the institute webpage: www.ikz-berlin.de . The Section Fundamental
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: Prof. Stephanie Pfänder) https://www.leibniz-liv.de/forschung/forschungseinheiten/emerging-viruses . Candidate requirements: PhD in a relevant field (virology, immunology, molecular and cell biology
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quantitative skills and programming skills in R Experience with field work in remote and/or tropical areas Ability to work under physically demanding conditions Strong interest in the analyses of ecological
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– company pension plan Senckenberg is committed to diversity. We benefit from the various expertise, perspectives and personalities of our staff members and welcome every application from qualified candidates
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English-language skills. Experience with programming is highly recommended. Above-average interest in the topic, we consider self-motivation and the ability to face new professional challenges as self-evident
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: development and coordination of the wind erosion monitoring program, the development and adaptation of measurement methods and modelling approaches both in the ZALF part of the project and between the involved
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funding programme therefore invites young scientists in Southeast Asia to submit project applications for field and/or laboratory research, in particular for explorations and excavations of new fossil sites
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extensive support through the graduate school (IRTG:(https://sfb1436.de/de/graduate-school/). Your profile: MSc in Neurosciences, Life sciences or related fields Experience in behavioural and molecular
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increasing sustainable economic prosperity and social participation under constantly changing conditions. Want to know more about us and your career opportunities? Come and meet us at https://www.ifo.de/en
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a relevant subject area (e.g., sociology, economics, social sciences, empirical education research) Very good knowledge of quantitative analysis methods and confident use of statistical programs