Sort by
Refine Your Search
-
of the group For more information, please contact professor J.S. Coron (jean-) or check the website www.crypto-uni.lu . Your profile Master's degree in computer science or mathematics Good programming skills
-
patient clusters and digital phenotypes, leveraging machine learning approaches to identify individuals at high CV risk based on clinical and biochemical markers, immune markers, digital health data (e.g
-
MSc (or equivalent) in Psychology, Clinical Neurosciences, Cognitive Science, Digital Health, or related fields. Interest or prior experience in digital phenotyping, vocal biomarkers, and AI-assisted
-
both spoken and written is required The candidat must have a Master (M2) of data science, computer science, applied mathematics The position is available starting from October. Salary according
-
of the project is to use machine-learning assisted molecular dynamics simulations incorporating quantum effects for the identification of new variant-specific drug targets which will be validated experimentally
-
(e.g., by enhancing learning, improving mental health, teaching green skills, strengthening cybersecurity). The xCIT team is part of the Department of Behavioral and Cognitive Science of the Faculty
-
their neural implementation. Profile of the Expected Candidate We are seeking a highly motivated and qualified candidate with the following profile: Master’s degree in Computer Science, Engineering, Physics
-
(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
-
Description of the offer : Magnetism intervenes in the data storage components, with information coded by the magnetization direction of submicronic magnetic domains. The calculations are instead done using semiconducting materials, with transistors performing logical operations (“NOT”, “AND”...
-
Luxembourg (n = 120 at each study site). At three measurement points in 6-month intervals, the study participants will report on their resources, risk factors, health and well-being with the help of interviews