Sort by
Refine Your Search
-
machine learning is advantageous Interest in data mining and database management Programming skills e.g. in R or Python Good analytical and communication skills. Proficiency in written and spoken English is
-
Statistics section The members of the Data Science and Statistics section cover a wide range of data science topics. Central research interests are data mining and data visualization, machine learning and
-
candidate will engage in data mining and analysis of long-term datasets from GEM and ICOS, combined with supplementary measurements as needed. The dataset includes comprehensive records of carbon flux
-
record within data science. Examples of interesting research areas include, but are not limited to, database systems, data mining, machine learning, NLP, computer vision, explainable AI, and optimization
-
, optimisation, and post-quantum and embedded cryptography. Data Science and Statistics , focusing on data science (data mining, data visualization, digital humanities), machine learning and artificial
-
cheminformatics, differential privacy and cryptography. Data Science and Statistics , focusing on data science (data mining, data visualization, digital humanities), machine learning and artificial intelligence