-
related to staff position within a Research Infrastructure? No Offer Description The four-year PhD position starts on the 2nd of September 2024 (or as soon as possible thereafter). The research project will
-
attend several European PhD courses and participate in extended research stays abroad. You will join the Industrial Engineering and Business Information Systems (IEBIS) section of the High-tech Business
-
! Health Technology Assessment (HTA) is essential to enable efficient and sustainable healthcare. We are seeking a PhD candidate who wants focus on HTA, that is, work at the intersection of healthcare
-
to various research communities. Thereto, an overview is made of running initiatives; and pros and cons are evaluated. Optionally, we will team up with these initiatives. The PhD develops robust (semi
-
languages and statistical software such as Python, R, Stata or SAS; Knowledge of quantitative modeling of financial markets, econometric techniques, machine learning, or quantitative empirical research
-
the collected data. Data could be analyzed by for exploring linkages between factors developing through advanced statistical analysis. Your method will be tested and improved empirically in close collaboration
-
, Sklearn, Conda, Github, etc.). Experience with natural language processing, especially LLM is a plus; Strong mathematical background, in particular statistics & probability, linear algebra, calculus and
-
to staff position within a Research Infrastructure? No Offer Description With this interdisciplinary PhD project you will lay the foundations for a comprehensive theoretical framework for Multi-Agent
-
attend several European PhD courses and participate in extended research stays abroad. You will join the Industrial Engineering and Business Information Systems (IEBIS) section of the High-tech Business
-
languages and statistical software such as Python, R, Stata or SAS; Knowledge of quantitative modeling of financial markets, econometric techniques, machine learning, or quantitative empirical research