Sort by
Refine Your Search
- 
                Listed
- 
                Category
- 
                Field
- 
                
                
                , these models often use simplified, linearized assumptions, limiting their capacity to capture the nonlinear complexities inherent in real-world hydrological processes. Recently, there has also been the branch 
- 
                
                
                : Prof. Dr. Magdalena Götz – magdalena.goetz at helmholtz-munich.de Application: Hector Fellow Academy Office – application at hector-fellow-academy.de Apply via the HFA portal: https 
- 
                
                
                the chance to obtain further academic qualification (usually PhD). Tasks: You will work on the scientific research project “Advancing the understanding of glacial isostatic adjustment in Antarctica” (ANT-GIA 
- 
                
                
                Description As part of the German government's artificial intelligence (AI) strategy, the successful Saxon competence center ScaDS.AI Dresden/Leipzig (Center for Scalable Data Analytics and 
- 
                
                
                the chance to obtain further academic qualification (usually PhD). Tasks: You will work on the research project “Resolving processes of Antarctic Ice Sheet change through innovations in satellite altimetry 
- 
                
                
                challenges of our time and conduct research into the possibilities of a digitized society, a climate-friendly energy system, and a resource-efficient economy. Work together with around 7,500 employees in one 
- 
                
                
                -specific knowledge and competence and forming a practice of interdisciplinary work. The program gives doctoral students the opportunity to develop and regularly discuss their own research based 
- 
                
                
                as well as funding acquisition and (global) outreach, if desired. International networking and collaborations are regarded as an integral part of the PhD research experience and are explicitly 
- 
                
                
                discipline relevant to our research fields (e. g. physics, computer science, electrical/electronic engineering, chemistry etc.). The knowledge of Python, C or other programming languages in use for accelerator 
- 
                
                
                profound knowledge in computational and theoretical physics/chemistry. Capability of team work is essential. Skills in high-performance computing, materials chemistry, theoretical chemistry, molecular