Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Forschungszentrum Jülich
- Heidelberg University
- Radboud University
- Technical University of Munich
- University of Exeter;
- Basque Center for Applied Mathematics
- CNRS
- DIFFER
- DTU Electro
- Delft University of Technology
- Delft University of Technology (TU Delft)
- Delft University of Technology (TU Delft); today published
- Erasmus University Rotterdam
- GFZ Helmholtz Centre for Geosciences
- Helmholtz Zentrum Hereon
- Helmholtz-Zentrum Geesthacht
- Helmholtz-Zentrum Hereon
- Institut Pasteur
- Instituto Superior de Agronomia
- KU LEUVEN
- Ludwig-Maximilians-Universität München •
- Maastricht University (UM)
- Massachusetts Institute of Technology (MIT)
- Monash University
- Nature Careers
- New York University
- Newcastle University;
- Swansea University
- Swansea University;
- Technical University Of Denmark
- UNIVERSITY OF HELSINKI
- University Hospital Jena
- University of Amsterdam (UvA); Published yesterday
- University of Birmingham
- University of Cambridge
- University of East Anglia;
- University of Exeter
- University of Massachusetts Medical School
- University of Newcastle
- University of Sheffield;
- University of Warwick
- Utrecht University
- Utrecht University; Utrecht
- 33 more »
- « less
-
Field
-
of Mathematics at Radboud University (Nijmegen, Netherlands), and join the research group of Laura Scarabosio, funded by the NWO Vidi programme ’Taming Frequency in Bayesian Inverse Wave Scattering’. Inverse wave
-
the student to guide the research, but preliminary ideas include: Exploring whether suggested discharge limits derived from single organism experiments are protective of microbial communities; Using Bayesian
-
-supervised learning, and few/zero-shot techniques — the student will adapt models to ecological data. Bayesian deep learning and ensemble methods will be explored for trustworthy uncertainty estimation
-
maximum of ONE student per project. This process will ensure an excellent fit of student to project and also an excellent strategic fit of the project within the faculty. Project titles: Bayesian methods
-
Your Job: This research primarily seeks to incorporate advanced neuron models, such as those capturing dendritic computation and probabilistic Bayesian network behavior, into unconventional
-
of the Department of Mathematics at Radboud University (Nijmegen, Netherlands), and join the research group of Laura Scarabosio, funded by the NWO Vidi programme ’Taming Frequency in Bayesian Inverse
-
for individuals that are interested in pursuing a PhD in economics or finance. The chosen candidate will also gain valuable experience in the application of machine learning and Bayesian inference methods
-
PhD Studentship: LLM-Based Agentic AI: Foundations, Systems & Applications – PhD (University Funded)
of machine learning, uncertainty quantification, and Bayesian modelling. They will provide complementary expertise to bridge agentic AI with real-world impact. What We Are Looking from You Background in
-
modeling, or machine learning - Experience with large-scale genomic data analysis (e.g., GWAS, QTL, PRS, or multi-omics integration) Strong programming skills in R or Python; familiarity with Bayesian
-
strategy, a probabilistic (e.g. Gaussian Process Regression) model to describe the relationship between process parameters and material properties will be developed and subsequently exposed to Bayesian