Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
DIPF | Leibniz Institute for Research and Information in Education contributes to addressing challenges in education through empirical research, digital infrastructure and knowledge transfer. At its
-
with a focus on quantitative data analysis (e.g., econometrics, statistics, machine learning) A high motivation and the ability to work independently with a strong team orientation Excellent spoken and
-
-art environment to develop the data-based technologies and smart applications of tomorrow. The Fraunhofer Society has established eight research and innovation centers in Heilbronn, including one
-
use of machine learning methods to process complex data sets. The focus is on techniques such as ultrasound, radar, computed tomography, acoustic emission analysis, and infrared thermography. Industry
-
: advising them on experimental design, sample preparation and data interpretation You contribute to the continuous improvement of workflows, quality standards and documentation within the core facility You
-
and methodological skills with a focus on quantitative data analysis (e.g., econometrics, statistics, machine learning) a high motivation and the ability to work independently with a strong team
-
production of bacteria via mass spectrometry Statistical analysis of the resulting data The successful candidate will have the opportunity to work towards a PhD Required qualifications: University degree (M.Sc
-
, agricultural sciences with a focus in economics, or related disciplines strong analytical and methodological skills with a focus on quantitative data analysis (e.g., econometrics, statistics, machine learning) a
-
that is relevant for applicants is some time before the deadline for the nomination at the ministry. Further information can be obtained directly at the respective higher education institution.