-
one year. After positive evaluation, the scholarship will be extended for three more years. Eligibility criteria You hold a master degree (120 ECTS) in statistics, mathematics, physics, engineering, or
-
of innovative statistical models for the analysis of large and highly-dimensional biomedical/biological datasets. In this role, you will design novel statistical frameworks, help in the conception of experimental
-
, Statistics, Computer Science, Genetics, or equivalent. Proficiency in Python and/or R, with a solid grasp of statistics. Excellent organizational and time management skills, with a flexible mindset for
-
including top-level researchers in emotion, relationships, work, and culture, working with cutting edge data collection and statistical methods. ● excellent research facilities, conference/travel budget, and
-
researchers in emotion, relationships, work, and culture, working with cutting edge data collection and statistical methods. See https://ppw . kuleuven.be/okp for more information and for relevant publications
-
You have a master's degree, preferably in (quantitative) psychology, or another master’s degree that implies a profound knowledge of statistics, data analysis and programming. You have a good knowledge
-
, nutrition, or a related field, with a proven track record of excellence.• You possess a profound interest in metabolomics and statistical analysis of multi-omic data.• You have proven expertise in
-
master's degree in Business and Information Systems Engineering, Business Engineering, Informatics, Computer Science, Machine Learning, Artificial Intelligence, Information Management, Statistics or related
-
Keywords: Ultrasound and Vibration, Structural Dynamics, Composite Structures, 3D Printed Structures, Damage, Assessment, Structural Health Monitoring, Structural Health Prognosis, Bayesian Statistics
-
Learning/Statistics or a related discipline with a focus on process analytics, preferably with a focus on building predictive and/or prescriptive models. You have a mature publication track record with