Sort by
Refine Your Search
-
live in. Your role The successful candidate will join the Applied Crypto Group (ACG), led by Prof. Jean-Sébastien Coron and be affiliated to the Department of Computer Science (DCS) of the University
-
. To do this, knowledge or willingness to be trained in advanced statistical modelling, ideally with an interest in methods for causal inference in observational data, is strongly preferred. Using various
-
in which the project is hosted For further information, please contact Prof. Alexander Skupin (email address: ). Your profile Master's degree or equivalent in biophysics, physics, computer
-
datasets using both traditional methods (e.g., factor analysis) as well as more modern approaches (e.g., deep learning). The goals are to develop new computational methods that allow the scientific inference
-
opportunities Engage actively in the doctoral program For further information, please contact Prof. Stephanie Kreis: Your profile A Master's degree in a relevant field Experience with wet-lab techniques and
-
-family-and-culture/ For further information, please contact Prof. Dr. Anna Kornadt (). Your profile Master's Degree (or equivalent) in Psychology or a related field Profound interest in the psychology
-
(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
-
contact Prof. Dr. Anna Kornadt (). Your profile Master's Degree (or equivalent) in Psychology or a related field Profound interest in the psychology of aging and lifespan development Interest in studies
-
methods for single-cell data analysis (tools developed by the team : https://github.com/cantinilab ). Single-cell high-throughput sequencing, extracting huge amounts molecular data from a cell, is creating
-
and very good knowledge in quantitative and qualitative research methods Good knowledge of statistical software (e.g. SPSS or STATA or R or JASP) Strong commitment and the ability to work in a team