Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Forschungszentrum Jülich
- Technical University of Munich
- Leibniz
- DAAD
- Fraunhofer-Gesellschaft
- Nature Careers
- Humboldt-Universität zu Berlin
- University of Stuttgart
- Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association
- Helmholtz-Zentrum Geesthacht
- Karlsruhe Institute of Technology, KIT
- Saarland University
- Technische Universität Ilmenau (Germany)
- University of Bremen •
- University of Göttingen •
- University of Konstanz •
- 6 more »
- « less
-
Field
-
of mathematics, to develop innovative application-oriented mathematics with a focus on data-driven modelling, simulation, and optimization, and to open new mathematical thinking spaces. MATH+ is supported by
-
optimization of technical processes and products. We present the exciting range of applications of our collaborative software development MESHFREE: https://www.meshfree.eu/ Currently, our team is working
-
academic qualification (usually PhD). Tasks: independent, curiosity-driven basic scientific research on fundamental mathematical optimization problems in the fields of machine learning and image analysis
-
Your Job: Take on specific tasks at JAIF such as trustworthy AI, training AI models, developing customized AI methods and workflows, or HPC optimization Implement and evaluate cutting-edge AI
-
-oriented research Requirements: strong programming and mathematical skills (or strong willingness to learning them) experience with Mathematica and Python work with models in public economics (e. g. optimal
-
in cancers of unknown primary (CUP). Your Role You will join Subproject 3 (Model Alignment and Optimization), led by PD Dr. Keno Bressem (https://scholar.google.com/citations?user=wIEgwbkAAAAJ&hl=en
-
conferences Your Profile: You have an excellent Master’s degree in a relevant discipline such as computer science, mathematics, engineering, or the natural sciences, preferably with a completed PhD or an
-
computer science, mathematics, electrical engineering, or a relevant area research experience, preferably in programming languages, compilers, applied mathematics, and optimization techniques a strong background in
-
autonomous electric vehicles under disruptions. This collaborative project aims to develop a resilient, multimodal transport management strategy that leverages automation and communication to optimize
-
chemical biology and biotechnology, enabling the preparation of defined oligonucleotides for a wide range of research applications. This project focuses on the experimental development and optimization