Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Chalmers University of Technology
- SciLifeLab
- Linköping University
- KTH Royal Institute of Technology
- Lunds universitet
- University of Lund
- Chalmers tekniska högskola
- Uppsala universitet
- Karlstad University
- Karlstads universitet
- Nature Careers
- Swedish University of Agricultural Sciences
- Umeå University
- Karolinska Institutet (KI)
- Lulea University of Technology
- Stockholms universitet
- Luleå University of Technology
- Sveriges Lantbruksuniversitet
- Kungliga Tekniska högskolan
- Linkopings universitet
- Mälardalen University
- Umeå universitet
- Umeå universitet stipendiemodul
- chalmers tekniska högskola
- Blekinge Institute of Technology
- Chalmers Tekniska Högskola
- Chalmers Tekniska Högskola AB
- Göteborg Universitet
- Högskolan Väst
- Jönköping University
- KTH
- Linköpings universitet
- Linneuniversitetet
- Lund University
- Stockholm University
- The University of Gothenburg
- Uppsala University
- 27 more »
- « less
-
Field
-
description Third-cycle subject: Applied and computational mathematics The Department of Mathematics at KTH is announcing a PhD position in Mathematics with a specialization in AI, focusing on Bayesian inverse
-
to AIDS is highly variable among individuals, developing an average of 9-10 years after infection in most adults in the absence of antiretroviral therapy. The overall objective of the PhD project is to
-
modeling, differential equations, Bayesian inference, large-scale computational methods, bioinformatics, data science, machine learning, optimisation, numerical methods. Please read more about the position
-
of Applied Mathematics and Statistics we conduct research within the theory and implementation of biomathematics, biostatistics, spatial modeling, differential equations, Bayesian inference, large-scale
-
of biomathematics, biostatistics, spatial modeling, differential equations, Bayesian inference, large-scale computational methods, bioinformatics, data science, machine learning, optimisation, numerical methods
-
of Applied Mathematics and Statistics we conduct research within the theory and implementation of biomathematics, biostatistics, spatial modeling, differential equations, Bayesian inference, large-scale
-
insights that inform biodiversity management. The project includes: · Apply of deep learning models to annotate bird and bat species from sound recordings. · Develop a Bayesian statistical
-
equations, Bayesian inference, large-scale computational methods, bioinformatics, data science, machine learning, optimisation, numerical methods. Please read more about the position and our department on our
-
Statistics we conduct research within the theory and implementation of biomathematics, biostatistics, spatial modeling, differential equations, Bayesian inference, large-scale computational methods
-
Mathematics and Statistics we conduct research within the theory and implementation of biomathematics, biostatistics, spatial modeling, differential equations, Bayesian inference, large-scale computational