37 parallel-processing-bioinformatics-"Multiple" positions at Free University of Berlin
Sort by
Refine Your Search
-
Responsibilities: The successful applicant will cover research and teaching in the field of applied mathematics with a focus on partial differential equations (with a reduced teaching load of two weekly contact hours) at Freie Universität Berlin and lead the “Partial Differential Equations”...
-
Responsibilities: The successful applicant will cover research, teaching, and service in the clinical discipline of equine surgery. They will also lead the Division of Orthopaedics and Surgery
-
university degree (Master’s, Diploma) in a scientific subject (e. g. Mathematics, Computer Science, Physics, Bioinformatics, Data Science, or related fields) Desirable: • Excellent programming skills in Python
-
desirable - Strong collaborative skills and ability to work well in a complex, multidisciplinary environment across multiple teams, with the ability to prioritize effectively. Applications should be sent by e
-
Freie Universität Berlin, with approximately 33,500 students, 460 professors, and 4,660 staff members, holds a leading position in research and teaching and is one of Germany’s multiple award
-
In the research group, we investigate how collective behaviour arises from the interaction of many similar particles or "agents", for example transport processes in porous materials or the formation
-
software skills, and participation in an international research team. Job description: - collect, process, and manage social sciences data - support the team with organizing teaching and events - perform
-
(at the time of contract) for that position. Job-description: - evaluation of mass spectra from the Cosmic Dust Analyser onboard the Cassini space probe - collaboration with a computer scientist who is
-
of accounting, corporate reporting in a national and international context, and auditing issues. Methodologically, the focus is on quantitative empirical approaches, in particular computer-aided text analysis
-
CRC 1114 aims at methodological developments for the modelling and computational simulation of complex processes involving many (more than two) interacting scales, driven by real-life applications