PhD Position - Jülich

We are looking for a highly motivated PhD candidate to join our world-leading research program in Earth System modelling and improving Earth System Modeling by better merging of measurement data and model simulations. · Conduct a literature review on modern techniques for combini ...

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 ...

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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 ...

This is the position for you to connect high-throughput cell microscopy with machine learning for 3D image reconstruction. · Excellent Master's degree in engineering, computer science or mathematics (or a related field), with a focus on computer vision, image processing, or machi ...

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+ ...

This PhD project aims at relating precisely timed spike constellations across subsets of neurons to low-dimensional manifolds of high-dimensional space of population neuronal firing rates. · Getting familiar with the experimental data and the concepts of neuronal coding, · Levera ...

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 bridges between classical analytical methods and modern AI based techniques to analyse spike train recordings to advance our understanding of neural population coding while maintaining clarity in the interpretation of results. · ...

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 ...

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 ...

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 ...

+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 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 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 to develop learning-based surrogate models for predicting stress fields in patient-specific arteries. · Development and comparison of data driven models for the prediction of stresses in arterial walls and plaque · Enhancing the models with physic ...

We explore how biological systems function and how they can be harnessed for a sustainable bioeconomy. · The Institute of Bio- and Geosciences (IBG) at Forschungszentrum Jülich offers PhD positions in the Simulation and Data Lab Digital Bioeconomy. · ...

+Job summary · We are looking for a PhD student to contribute to the development of fast, accurate, and physics-informed machine learning models for predicting blood flow in patient-specific vascular geometries.++Development of physics-aware ML models for 3D blood-flow prediction ...