38 computer-science-image-processing positions at Free University of Berlin in Germany
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
: economic sociology, historical sociology, (historical) political economy, historical social science, computational sociology - advanced skill in quantitative, statistical methods (R, stata, Python), ideally
-
approaches to electrolyte systems Requirements: Candidates must have a Ph.D. in Physics, Chemistry, Applied Mathematics, or related fields. Desirable: - English language fluent, spoken and written - excellent
-
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
-
efficacy of biopolymer-based materials using antimicrobial assays Desirable: - Background in Chemistry, Microbiology, Plant Sciences or a related field - Experience with working in a biosafety lab setting
-
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
-
. degree in theoretical physics and must meet the requirements for admission to the doctoral program of the Department of Physics at Freie Universität Berlin. Desirable: Excellent knowledge of theoretical
-
financial investments. This project aims to uncover the often-hidden financial giants in the reinsurance sector to understand how they reacted to climate change and ongoing processes of financialization. Job
-
sociology), BA/MA students in sociology or related social sciences (esp. economics, history) Applications should be sent by e-mail, together with significant documents (motivation letter, cv, transcripts
-
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
-
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