A team of enthusiastic lecturers from member institutions of the U Bremen Research Alliance voluntarily created our common curriculum. The training is targeted at doctoral researchers and open to all interested in strengthening their data skills, if capacities are available.
Our flexible and crossdisciplinary curriculum consists of courses tailored towards the participants’ prior knowledge and interests. Doctoral researchers can complete the tracks in their entirety or attend only individual courses. We confirm participation in courses after completion of the respective track by a ‘Certificate of Participation’.
Attention: Please note our "Conditions of Participations".
Lecturer(s):
Dickhaus, Prof. Dr. Thorsten
Date:
June 14 - 16, 2023
Format:
in Person
Register until:
June 02, 2023
Lecturer(s):
N. Wright, Prof. Dr. Marvin
Date:
July 4 - 5, 2023
Format:
in Person
Register until:
June 21, 2023
Lecturer(s):
Baguer, Dr. Daniel Otero, Gödeke, Janek
Date:
July 17 - 21, 2023
Format:
in Person
Register until:
July 07, 2023
OT-SC-2023-04
Curriculum: Operator Track 'Data Scientist'
Evaluating of machine learning and artificial intelligence algorithms
Lecturer(s):
Westphal, Dr. Max, Brannath, Prof. Dr. Werner
Date:
September 20 - 21, 2023
Format:
in Person
Register until:
September 07, 2023
OT-SC-2023-09
Curriculum: Operator Track 'Data Scientist'
Hardware and system architectures for Data Science
Lecturer(s):
Metz, Christopher
Date:
October 12, 2023
Format:
Online
Register until:
September 28, 2023
Lecturer(s):
Grigoropoulou, Dr. Nikolitsa
Date:
November 7 - 8, 2023
Format:
in Person
Register until:
October 25, 2023
Lecturer(s):
Haas, Dr. Antonie
Date:
November 21 - 23, 2023
Format:
in Person
Register until:
November 09, 2023
Lecturer(s):
Didelez, Prof. Dr. Vanessa
Date:
December 7 - 8, 2023
Format:
in Person
Register until:
November 24, 2023
Cooperating in U Bremen Research Alliance:
