Graduate Academy

DATES

Mon
12
Oct
Mon
02
Nov

Statistische Methoden bei Designs mit kleinen Fallzahlen

Der Workshop vermittelt Grundlagen quantitativer Auswertungsverfahren bei Designs mit kleinen Stichproben. Lernziele sind: die Teilnehmer*innen können...

Tue
03
Nov
Wed
04
Nov

Deep Reading - auch digital: Bildschirm- und gehirngerechte Lese- und Merkstrategien

Das Verständnis und Behalten komplexer Texte fällt beim Lesen am Bildschirm vielfach schwerer als die Informationsaufnahme vom Papier. Das...

Mon
09
Nov
Tue
10
Nov

Projektmanagement für Akademiker*innen

Kenntnisse und Methodenkompetenzen im Projektmanagement sind sowohl in Industrie und Verwaltung als auch in der Wissenschaft von elementarer...


Raffle of 30 licenses for participation in Nature Masterclasses online courses

Stephan Redlich, Team Leader Project Acquisition of the Service Center Projects for Research, Education and Transfer, Prof. Dr. Udo Kragl, Prorector for Research and Transfer of Knowledge and Corina Reinheckel, Head of the Graduate Academy, drawing the winning tickets (from left to right).

Among its members, the Graduate Academy has raffled off 30 licenses for participation in Nature Masterclasses online courses for writing and publishing in the natural sciences.

After a total of 52 applications of interest had been submitted by 6 September, the winners were selected on 7 September. The winning tickets were drawn jointly by the Prorector for Research and Transfer of Knowledge Prof. Dr. Udo Kragl, Corina Reinheckel, Head of the Graduate Academy, and Stephan Redlich, Team Leader Project Acquisition of the Service Center Projects for Research, Education and Transfer.

The winners will be informed personally and will receive the access code via e-mail.


Establishment of a new scientific network at the Graduate Academy

“Open Reproducible Data Science and Statistics“ (ORDS)

Open Reproducible Data Science and Statistics (ORDS) is a scientific network at the Graduate Academy of the University of Rostock. Its goal is to bundle regional expertise in the fields of data analysis and statistics with open and reproducible science in the Rostock-science-region. The focus is on the exchange of expertise between doctoral candidates and postdocs, but all other interested scientists are also welcome.

Due to the interdisciplinary character of modern data-driven science, the network explicitly addresses all disciplines. Besides general questions of data analysis, statistics and reproducibility, the network also focuses on programming environments such as R and Python. While R is mainly used for statistical data analysis and data visualization, Python is especially common in the application of machine learning methods. Besides the actual data analysis, another central point is the management and versioning of data and source code. Modern tools such as the Git version control system, Jupyter notebooks and Docker containers can be used for this purpose.

We want to meet at regular intervals and inform each other about current projects and methods in the field of data analysis and statistics. Furthermore, we have the possibility to invite external experts. Furthermore, seminars and workshops at the Graduate Academy will be dedicated to the topics of ORDS.

We hope to have aroused your interest in the ORDS network! Please either register directly via the ORDS-SharePoint or write an email to gradauni-rostock.

Contact:

Dr.-Ing. Frank Krüger, Institute of Communications Engineering, 
frank.kruegeruni-rostockdehttps://www.int.uni-rostock.de/, +49 381 498-7339

Anja Eggert, Leibniz Institute for Farm Animal Biology (FBN), Institute of Genetics and Biometry, 
eggertfbn-dummerstorfde,https://www.fbn-dummerstorf.de/en/institutes/institute-of-genetics-and-biometry/units-and-groups/service-group-statistical-consulting/, +49 38208 68-903



Corina Reinheckel
Head of the Graduate Academy

Universitätsplatz 1
18055 Rostock

Room 127

Phone: +49 381 498-1022

Jasmina Wiberg
Team Assistant

Universitätsplatz 1
18055 Rostock

Room 026

Phone: +49 381 498-1327

N. N.
Student Assistant

Universitätsplatz 1
18055 Rostock

Room 026

Phone: +49 381 498-1605