-
? Then this is the PhD position for you. Your job The department of Methodology and Statistics has a job opening for a PhD candidate. In this position, you will develop novel statistical algorithms
-
, MASLD, and disease phenotypes (Obesity, Type-2-diabetes) collected in European population studies. You will apply multivariate statistical models and AI-assisted knowledge graphs to guide
-
are looking for an enthusiastic colleague who meets multiple of the following requirements: You have (completed or almost completed) a Research Master’s degree in AI, NLP, Statistics, Data Science, Computer
-
Master’s degree in Psychology, Sociology, Methods & Statistics, Organisation Science, Economics, Management, Public Administration, or a similar study. You have the ambition to conduct excellent scientific
-
staff position within a Research Infrastructure? No Offer Description Ready to make a real difference? Are you interested in applying cutting-edge statistical and machine learning techniques to develop
-
Requirements Research FieldGeosciencesEducation LevelMaster Degree or equivalent Skills/Qualifications Fluency in R for statistical analysis. Experience with ecological fieldwork. Experience with stakeholder
-
). Additional highly desired qualifications include: affinity with advanced statistical modeling and a programming language such as R, Matlab or Python (or an ambition to learn to code); special consideration
-
, statistical physics of soft-condensed-matter systems, and biophysics; presently having diverse research outlooks ranging from colloidal gelation, to tissue dynamics, to bacterial colony growth. As a PhD
-
such as holidays, and time spent as part of a procedure for obtaining refugee status are not taken into account. Knowledge, Skills & Experience (desirable): fluency in R for statistical analysis; experience
-
analytical chemical measurements; knowledge on blue carbon ecosystems. Other desired, but not required, skills: working with programming software such as Matlab, R or Python; general background in statistical