Sort by
Refine Your Search
-
Category
-
Program
-
Field
-
Engineering, Mathematics, Statistics, or related fields. • Strong programming skills in Python, Java, C++, etc. • A solid foundation in generative AI, machine learning, and related areas. • An Interest in eye
-
Science, and their responsible applications. Ideal candidates will have: An M.Sc. degree (or equivalent) in Computer Science, Statistics, Mathematics, or related fields. Strong programming skills in Python
-
Finance (m/f/d). Our Requirements: The candidates should have completed (or are completing) a Master’s degree or equivalent in Management/Business, Economics, Business Mathematics, or Information Systems
-
onwards: Scientific Researcher (m/f/d) E13 TV-L - Novel mathematical approaches for inverse modeling to determine greenhouse gas emissions. The position is initially limited to two years with
-
, computer science, statistics or mathematics with a demonstrable interest in their social aspects and implications • Knowledge of data studies scholarship (philosophy, history and/or social studies of data
-
of AI. The ideal candidates will have a background in computer science, statistics, mathematics, or related fields, as well as an interest in social science research methods and theories. The PhD
-
consultancy and teaching projects Your qualification: • Studies (with Master or PhD degree) of mathematics, statistics, bioinformatics, epidemiology or related subjects. Applicants expecting to finish
-
candidate, you have an outstanding Master's degree or comparable degree in biology, physics, applied mathematics or related disciplines. As an experimental candidate you have experience in biological systems
-
, machine learning, mathematics, statistics, data science, or physics Outstanding track record, demonstrated by high-impact publications in top venues of machine learning or related fields Excellent
-
to 2 years; an extension of an additional 2 years is possible. TASKS: Mathematical and physical modeling to determine greenhouse gas and pollutant emissions in cities using novel atmospheric measurements