PhD position - Jülich

This PhD project explores the stability and dynamic behaviour of inverter-based power systems using supercomputing infrastructure. · ...

+Job summary · This PhD project focuses on modelling and simulating future gas grids, · exploring transformation pathways, · and developing cross-sectoral simulation frameworks to support informed decision-making.Bullet pointsInvestigate the impacts of future transformation pathw ...

The Global Monitoring Group in the Institute of Climate and Energy Systems - Troposphere (ICE-3) is joining the Collaborative Research Centre TPChange for studying the tropopause region in a changing atmosphere. The TPChange project aims to specify the impact of processes in the ...

We are looking to recruit a PhD position - Molecular simulation and machine-learning for predictive chromatography modeling with CADET - within the HDS-LEE graduate school. · A PhD project seeks to predict ion-exchange isotherm parameters directly from molecular properties. · The ...

We are looking for a PhD student in machine learning to work within a project linked to the Helmholtz School for Data Science in Life, Earth and Energy (HDS-LEE). The job involves developing physics-aware simulations of growing cell populations and designing reinforcement learnin ...

+ · +Your goal as one of 19 international PhD candidates is to evaluate the economic viability of geothermal plants that produce power, heat, and critical materials · +Your tasks include evaluating traditional material extraction methods, projecting future demand and price trends ...

We are looking for a PhD student in machine learning to work within a project linked to the Helmholtz School for Data Science in Life, Earth and Energy (HDS-LEE). This HDS-LEE PhD position will be located at Forschungszentrum Jülich with strong links to RWTH Aachen. · Develop 3D+ ...

You want to make an impact by connecting high-throughput cell microscopy with machine learning for 3D image reconstruction? This is the position for you. · ...

This PhD position involves connecting high-throughput cell microscopy with machine learning and physics-based simulation to develop modern data-driven decision-making methods for steering cells within microenvironments. The project treats these experiments as adaptive bioagent-en ...

This PhD project seeks to predict ion-exchange isotherm parameters directly from molecular properties using protein structure descriptors and machine learning.The predictions will be integrated into the open-source CADET simulation framework for fully predictive process simulatio ...

+Job summary · Join a diverse and supportive research group at one of Europe's leading research centers where you will work on cutting-edge energy system models developing solutions for Europe energy system decarbonization. · +Investigate future transformation pathways on gas gri ...

The Bioinformatics Division of the Institute of Biological and Geosciences - Bioinformatics (IBG-4) processes and develops methods and algorithms to achieve a fundamental understanding of high-dimensional data... · Masters degree in chemical engineering biotechnology computationa ...

We are looking for a PhD student in machine learning to work within a project linked to the Helmholtz School for Data Science in Life, Earth and Energy (HDS-LEE). · Develop physics-aware simulations of growing cell populations, including their spatiotemporal manipulation in micro ...

We are looking for a PhD student in machine learning to work within a project linked to the Helmholtz School for Data Science in Life Earth and Energy HDS LEE . · Develop 3D+t image reconstruction methods in a cell microscopy setting using image sequences as well as focus stacks ...

This PhD project aims to fill the gap in molecular-scale mechanisms underlying soil structure water retention nutrient cycling by using molecular simulations to quantify interactions between SOM EPS water minerals translate findings into parameters usable in continuum-scale model ...

We are offering a PhD position in data science at Forschungszentrum Jülich. You will have the opportunity to apply your data science skills to real-world challenges and work on cutting-edge projects. · ...

Job summary · Development preparation and characterization of state-of-the-art and novel catalysts for polymer recycling towards hydrogen carrier molecules Characterization of polymer thin films on model surfaces In situ and operando <x-ray scattering studies of catalyst/polymer ...

We are looking for a PhD candidate to perform research in a project at the overlap of general relativity, quantum field theory and quantum information in the context of quantum technologies in space. · ...

This PhD project is to build a multi-scale model linking molecular renewal to functional properties of synapses to study the relationship between synaptic resilience and the reliability of synaptic responses. · ...

Maintain, and update quantitative methods for assessing economic impacts of the energy transition at the national and regional levels Develop dynamic and multisectoral economic models to gain insights into complex systems and inform decision-making Design and evaluate scenarios t ...