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Applicants are requested to submit their documents as specified in the job advertisements (Postdoc / PhD).

]]>There are no fees, but registration is necessary. Registered users will receive an email a few hours before the talk with a link to the Zoom meeting.

]]>In 2014 Maryam Mirzakhani was the first and only woman ever to receive a **Fields Medal**, the highest award in mathematics, for «outstanding contributions to the geometry and dynamics of Riemann surfaces and their modular spaces». In her honour, **The National Academy of Sciences Award in Mathematics**, was renamed **The Maryam Mirzakhani Prize in Mathematics** just a few years later.

However, she is not the first and not the only female mathematician who has achieved outstanding performance. Anyone looking for women in mathematics begins a journey through history from late Greek antiquity right to the moon - from Hypatia to Margaret Hamilton - and finds impressive biographies and brilliant research.

May 12th is not only Mirzakhani's birthday but a day to celebrate all women in mathematics and be inspired by them.

]]>Until the closing on Friday, March 20th, those whose UNIcard has access rights to the building will continue to have access to the department.

]]>The Collatz conjecture is one of these unsolved problems in mathematics. Let's think of any natural number. If it is even, divide it by two. If it is odd, multiply it by three and add one. Apply the same rules to your results over and over again. The Collatz conjecture predicts that at some point we reach the number one and are then caught in an endless loop (1, 4, 2, 1, 4, 2, 1, ...). Although these rules have been applied to more than a trillion numbers without finding an exception, no mathematical proof or general mathematical argument can be derived from the Collatz conjecture. Among the most recent challengers of the problem is Terence Tao. He recognized a connection between the Collatz conjecture and partial differential equations: The attempt to predict the future nature of a system and to check how and whether a pattern depends on the respective starting point. Although he did not expect to make great progress and did not solve the Collatz conjecture, he was still able to make the most significant progress in recent decades.

Last week Tao was a guest at the Department of Mathematics and Computer Science at the University of Basel and gave a lecture on his work on the Collatz conjecture. More than 500 national and international guests, including around 180 high school students, streamed into the auditorium hours before the event began. Because of the large number of guests, the lecture was also broadcasted in an adjoining lecture hall. During his lecture, Terence Tao mastered the feat of presenting advanced level mathematics in a way that is accessible to everyone. He managed to inspire and make the audience laugh so much that he was even asked for autographs and selfies after his lecture.

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She obtained her PhD in Mathematics in 2012 at the University of Rome (La Sapienza) and did postdoctoral research at the Institute of Mathematics at the University of Zurich and at the Hausdorff Center for Mathematics at the University of Bonn. She has been an Ambizione Fellow of the SNF at the University of Zurich since 2016. Her project at the Department of Mathematics and Computer Sciences addresses questions in kinetic theory and many-body interactions in both classical and quantum systems evolving around the theory of the Boltzmann equation.

]]>Giusi Moffa received her PhD in statistics from the University of Bristol in 2010 and then performed postdoctoral research in statistical bioinformatics at the Institute for Functional Genomics at the University of Regensburg. From 2014 to 2017, she was a senior statistician in clinical pharmacology for oncology at Novartis Pharma in Basel before joining the Basel Institute for Clinical Epidemiology and Biostatistics (CEB). Early 2019, Giusi Moffa was a visiting scientist in the research group of Miguel Hernán at the Harvard School of Public Health. Since 2015, she has also been an honorary research associate in the Division of Psychiatry at University College London.

Giusi Moffa`s application-oriented and interdisciplinary work involves developing methods for clinical research, epidemiology and cancer genomics. Her methodological research revolves around causal inference and probabilistic graphical models for high dimensional data, with a particular emphasis on computational methods for Bayesian statistics.

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