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educational programs, we are now seeking a postdoctoral researcher to work on privacy for data-driven models and high-dimensional data. The position is full-time for two years, starting on 1st September, or as
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Organic Chemistry. Candidates must be fluent in spoken and written English. Since this is a collaborative project, candidates are expected to have a keen interest in interdisciplinary research and excellent
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evidenced by first authorship, or publications presenting significant advances in plant sciences. Candidates must be fluent in spoken and written English. Since this is a collaboration project, candidates are
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mathematics, ecology, history, climatic and medical sciences in collaboration across multiple institutes. An integral part of the project is to develop process-based eco-epidemiological models considering
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-reviewed original publications. Candidates must be fluent in English. Since the project will be of collaborative nature, candidates are expected to function in a team and have a good ability to co-operate
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networks are controlled, to develop predictive models of methane cycling in northern rivers. This postdoc position will focus on assessing how stream methane emissions are linked to permafrost thaw, using
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environmental simulations and meaningfully advance the modeling of global lake ecosystem dynamics. This is a full-time, two-year position. The application deadline is May 15, 2025, and the expected start date is
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this challenge, we established an NSG mouse model that included human ovarian carcinoma xenografts and a chemotherapy treatment regimen mimicking the human situation. In your project, you will perform a CRISPR
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education to enable regions to expand quickly and sustainably. In fact, the future is made here. We are announcing a postdoctoral position in tropical carbon cycling and modelling. The employment is full time
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, their interactions with hosts and the environment, and how they are transmitted through populations. Research will have a strong focus on computational analysis or predictive modeling of pathogen biology or host