Faculty of Business and Economics

Faculty of Business and Economics

Website of the Faculty of Business and Economics on the coronavirus

Großer Arbeitstisch, an dem mehrere Menschen Laptops und Smartphones arbeiten. Man schaut von oben auf die Computer.

Dear students, the summer semester 2020 will be digital: The preliminary maths course for first-year students is already online, the student council and WiWi-O-Phase have created a digital tandem programme for first-year students and almost 100 percent of the courses in the summer semester will be offered online. The semester starts according to the current plans of the University of Göttingen on April 20, 2020. Constantly updated information on teaching in the summer semester can be found under "more".

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COVID-19: on average only 6% of actual SARS-CoV-2 infections detected worldwide

Porträt Sebastian Vollmer 206px

The number of confirmed cases for the novel coronavirus disease COVID-19 officially issued by countries and widely commented on by national and international media outlets dramatically understates the true number of infections, a recent report from the University of Göttingen suggests. Dr Christian Bommer and Professor Sebastian Vollmer from Göttingen University have used estimates of COVID-19 mortality and time until death from a recent study published in The Lancet Infectious Diseases to test the quality of official case records. Their data shows that countries have only discovered on average about 6% of coronavirus infections and the true number of infected people worldwide may already have reached several tens of millions.

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Position of Full Professor (W3) for "Spatial Data Science and Statistical Learning" to be filled as soon as possible

Oec Innenhof Pyramide 206px

The candidate should have an internationally recognized research profile in the field of spatial data science and statistical learning and should have an excellent academic background/ expertise in one or more of the following topics: spatial statistics, statistical learning, machine learning, Bayesian statistics, computational statistics. Successful candidates will have ample experience in conducting ambitious research projects both with a focus on methods development and collaboration with applied scientists. This experience will be manifested in particular via publications in highly reputed, international journals. Third party funding and experience abroad are beneficial for a successful application. Application deadline: 9 April 2020

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