4 machine-learning "St" Postdoctoral positions in Denmark

Postdoc position in applied machine learning to develop risk prediction tools in atrial fibrillation (2024-224-05934)

multimorbidity patterns in atrial fibrillation patients. The key responsibility of the position is to structure atrial fibrillation patient’s health data for machine learning algorithms(feature engineering

Postdoc in science and technology studies at the Department of Digital Design & Information Studies at the School of Communication and Culture (re-advertisement)

applicant will be expected to teach in English. Qualifications Applicants must have a PhD degree or document equivalent qualifications in a relevant field related to STS, information studies or neighbouring

Postdoc in statistics (2024-224-05883)

methods for assessing generative AI’s compliance to GDPR. The purpose of the position is to build Bayesian metrics for privacy preserving AI(e.g., synthetic data generation, federated learning, and privacy

Postdoc position at the Center for Neuroplasticity and Pain (CNAP) (2024-224-05903)

opportunity to learn new analysis techniques(e.g., Matlab, Python) if relevant for the task. Write up research results in the form of journal articles. Participate in and co-arrange national and international