Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
is the necessity of training a new generation of researchers, possessing a full mastery of the mathematical tools that are needed for modelling and statistically analysing data structures displaying
-
order to better understand, explain and advance society and environment we live in. The position is funded by the ERA Chair SanDAL in Mathematical Statistics and Data Science (https://sandal.uni.lu/ ).
-
fundamental and applied topics (quantum science and technology, statistical physics and machine learning, chemical physics, soft and living matter, photovoltaics - sustainable energy, spectroscopy and
-
advanced statistical analyses on data emerging from ÉpStan (under supervision) Present research findings to other team members or researchers Contribute and support (on-going and future) research projects
-
, statistics and visualization are considered as an advantage Excellent oral and written English skills Communication skills and talents in teamwork We offer... An innovative, dynamic, international working
-
, unsupervised, and reinforcement learning. Knowledge of federated learning is considered a plus Graph theory and graph signal processing Random matrix theory Statistical signal processing Stochastic geometry
-
for interface development are advantageous. (and/or) Python - Expertise in image processing with Python with common libraries including NumPy and SciPy for matrix and statistical analysis, OpenCV for computer
-
should have excellent analytical and research skills, some experience in statistical software (e.g. Stata, Python, R), a strong motivation for academic research and interest in empirical research with
-
of relevant statistical software (e.g., R, Mplus); experience in analyzing intensive longitudinal data will be considered an advantage; experience in data and project management will be considered an advantage
-
assets A good working knowledge of basic statistical concepts Team player Highly reliable and precise work style Great organizational skills and willingness to work independently in phases of potentially