Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
Candidates must hold a PhD in Mathematical Engineering or Applied Mathematics (or equivalent) Candidates should have a solid background in numerical methods for differential equations, simulation of stochastic
-
potential of genetic discovery. We have access to extensive biosample collections and use advanced omics technologies and genetic-epidemiological methods on human study populations to identify molecular
-
inverse problems. The team aims at developing Bayesian computational methods for such (ill-posed) inverse problems and aims both at increasing their validity and at reducing their computational cost. In
-
-epidemiological methods on human study populations to identify molecular mechanisms that can serve as future targets for early detection, prevention, and treatment. Our lab is at the forefront of Alzheimer’s
-
investigating the translational potential of genetic discovery. We have access to extensive biosample collections and use advanced omics technologies and genetic-epidemiological methods on human study populations
-
foster students' ability to critically apply advanced quantitative and computational methods to real-world economic and policy challenges. In particular, the following requirements apply: PhD in Economics
-
/ Deep Learning (particularly Computer Vision or 3D perception) Verification & Validation (V&V) of advanced algorithms, software or systems Formal Methods Safety Engineering / Safety-Critical Systems
-
of the research are: AI-assisted Bond Issuance, Causal Methods for Enhanced Market Intelligence, Automated Market Research Summaries via RAG-enabled AI. Successful PhD candidates will extensively explore and
-
ensure timely and high-quality outputs Publish in top-tier outlets, contributing to the strategic goals of SnT and FINATRAX Supervise and mentor PhD, BSc and MSc students Engage in teaching activities
-
processing, embedded systems, machine learning, and networked communication. Each PhD position corresponds to a dedicated research topic within the consortium. All doctoral researchers will benefit from joint