47 algorithm-development-"Multiple" "NTNU Norwegian University of Science and Technology" PhD positions in Luxembourg
Sort by
Refine Your Search
-
Analyze blockchain data and develop innovative analytics methods Contribute to the understanding of illicit financial flows in the crypto-asset ecosystem Develop strategies to improve the design of public
-
overcoming label scarcity. Tasks: Conduct interdisciplinary research on crypto-asset analytics and financial crime prevention Analyze blockchain data and develop innovative analytics methods Contribute
-
multiple actions to attract, develop and retain women in science · 32 days’ paid annual leave, 11 public holidays, 13-month salary, statutory health insurance · Flexible working hours, home
-
-friendly environment with multiple actions to attract, develop and retain women in science · 32 days’ paid annual leave, 11 public holidays, 13-month salary, statutory health insurance
-
environment empowering our people to fulfil their personal and professional ambitions Gender-friendly environment with multiple actions to attract, develop and retain women in science 32 days’ paid annual leave
-
empowering our people to fulfil their personal and professional ambitions ·Gender-friendly environment with multiple actions to attract, develop and retain women in science ·32 days’ paid annual leave, 11
-
· Gender-friendly environment with multiple actions to attract, develop and retain women in science · 32 days’ paid annual leave, 11 public holidays, 13-month salary, statutory health insurance
-
, Computer Science, Life Sciences and Medicine. Through its dual mission of teaching and research, the FSTM seeks to generate and disseminate knowledge and train new generations of responsible citizens in
-
look into systems in the small and how we can prepare them to withstand and operate safely and securely through accidental faults and targeted cyberattacks and how large scale constellations can achieve
-
the current age lies in joining forces from multiple disciplines to focus on understanding causal and mechanistic links between the microbiome and chronic diseases alongside generalisable pathogenic effects