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Position: Postdoctoral Researcher (f/m/d)
Institution: Georg-August-Universität Göttingen
Department: Collaborative Research Center
Location: Göttingen, Niedersachsen, Germany
Duties: The candidate will work on the project C06 "Optimal transport based colocalization" in the research groups of Axel Munk and Bernhard Schmitzer. The project studies biological cells and their conjectured ability to regulate their metabolic activity by the dynamic assembly of the involved proteins. Protein distributions in individual cells will be measured with state-of-the-art super-resolution microscopy. The measurements will then be analyzed with optimal transport theory to determine the extent of coordination by the cell. The candidate will work on mathematical modelling, statistical analysis and efficient numerical methods for optimal transport and on the evaluation of the experimental data
Requirements: You hold an excellent PhD degree (or equivalent) in applied mathematics; You have a profound interest in optimal transport, from a variational, statistical or numerical perspective; You have experience with numerical optimization and scientific computing environments such as Python, Matlab or similar; You are interested to work in an interdisciplinary team with an experimental lab; You are fully proficient in written and spoken English
   
Text: Postdoctoral Researcher (f/m/d) Einrichtung: Collaborative Research Center (CRC) 1456 Mathematics of Experiment (ID 100966) Ansprechpartner: Eva Hetzel Besetzungsdatum: 01.02.2022 Veröffentlichungsdatum: 18.11.2021 The Collaborative Research Center (CRC) 1456 Mathematics of Experiment: The challenge of indirect measurements in the natural sciences at the Georg-August-University Göttingen offers the position of a postdoctoral researcher in statistical and computational optimal transport (three years, f/m/d) The position should be filled as soon as possible (e.g. February 01, 2022). The salary is in accordance with the German public service salary scale (E13 TV-L) . The position is offered for three years with 100% of the regular working hours. The candidate will work on the project C06 "Optimal transport based colocalization" in the research groups of Axel Munk and Bernhard Schmitzer. The project studies biological cells and their conjectured ability to regulate their metabolic activity by the dynamic assembly of the involved proteins. Protein distributions in individual cells will be measured with state-of-the-art super-resolution microscopy. The measurements will then be analyzed with optimal transport theory to determine the extent of coordination by the cell. The candidate will work on mathematical modelling, statistical analysis and efficient numerical methods for optimal transport and on the evaluation of the experimental data. About us: The aim of CRC 1456 is to develop mathematical data analysis for the natural sciences, i.e. mathematical theory and tools to efficiently extract maximal quantitative information from experimental data. This challenge is addressed in 16 projects which are all lead jointly by mathematicians and experimental scientists. For more information we refer to the web page https://www.uni-goettingen.de/crc1456 Your profile: - You hold an excellent PhD degree (or equivalent) in applied mathematics - You have a profound interest in optimal transport, from a variational, statistical or numerical perspective - You have experience with numerical optimization and scientific computing environments such as Python, Matlab or similar - You are interested to work in an interdisciplinary team with an experimental lab - You are fully proficient in written and spoken English The University of Göttingen is an equal opportunities employer and places particular emphasis on fostering career opportunities for women. Qualified women are therefore strongly encouraged to apply in fields in which they are underrepresented. The university has committed itself to being a family-friendly institution and supports their employees in balancing work and family life. The mission of the University is to employ a greater number of severely disabled persons. Applications from severely disabled persons with equivalent qualifications will be given preference. Your application, including a letter of motivation, curriculum vitae, list of publications, copies of your certificates and contact information of at least two references, should be submitted to the online application platform https://lotus2.gwdg.de/uni/uzdv/perso/knr_100966.nsf by 16.12.2021. If you have any questions, please contact Eva Hetzel ( crc1456@uni-goettingen.de ), Axel Munk ( munk@math.uni-goettingen.de ) or Bernhard Schmitzer ( schmitzer@cs.uni-goettingen.de ). Please note: With submission of your application, you accept the processing of your applicant data in terms of data-protection law. Further information on the legal basis and data usage is provided in the Information General Data Protection Regulation (GDPR) Stellensuche Suchen Alle anzeigen Wir weisen darauf hin, dass die Einreichung der Bewerbung eine datenschutzrechtliche Einwilligung in die Verarbeitung Ihrer Bewerberdaten durch uns darstellt. Näheres zur Rechtsgrundlage und Datenverwendung finden Sie im Hinweisblatt zur Datenschutzgrundverordnung (DSGVO) . Kontakt für Anzeigenschaltung Vera Müffeler Postfach 3744 (Gosslerstr. 5 - 7) 37027 Göttingen (37073 Göttingen) Tel. 49 551 39-24213 Fax 49 551 39-1824213 anzeigen@zvw.uni-goettingen.de
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