109 Science "University of Bayreuth" positions at Forschungszentrum Jülich in Germany

Research Associate in Data Science Management

to accelerate materials research and develop the next GW photovoltaic technology. We use automated research equipment to experimentally produce, characterize and optimize solar cells. In doing so, we collect a

Research associate in the field Ontologies for Material Science

position within a Research Infrastructure? No Offer Description Work group: IAS-9 - Materials Data Science and Informatics Area of research: Scientific / postdoctoral posts Job description: Your Job: In our

Research associate in the field Ontologies for Material Science

Your Job: In our team you will collaboratively work on: Collaborative development of semantic artifacts in materials science, in a scale- and method-bridging approach for crystallographic defects

Head of Department for High-Temperature Electrolysis and Fuel Cell Technology

Your Job: To further develop the high-temperature electrolysis and fuel cell technology (Solid Oxide Cell, SOC), you will take over management of the merged departments "Electrochemistry" and

PhD Position – Plant Systems Biology

Your Job: Analysis and integration of diverse biological data from the field of plant sciences (large scale genomic, transcriptomic, proteomic, metabolomic and/or single cell data) using cutting

Postdoctoral Researcher – Plant Systems Biology

Your Job: Analysis and integration of diverse biological data from the field of plant sciences (next generation sequencing, large scale genomic, transcriptomic, proteomic, metabolomic and phenotypic

Research Assistent / PostDoc - Science Support and Administration in EU-project RIANA

experiments and aims at directing projects to the best neutron instruments within the League of European Neutron Sources (LENS). For this task we need you as a specialist who can bring high level science to

Postdoc - Machine learning / Artificial Intelligence and big data science in the field of synchrotron research

. The current project deals with the use of machine learning / artificial intelligence and big data science in the field of synchrotron research. Development and application of machine learning / artificial

Postdoc - Digital Transformation for Renewable Energy Systems

engineering management to advance the integration and optimization of renewable energy technologies, from hydrogen and battery systems to broader renewable sources. The project`s goal is to facilitate open

PhD Position - Resource-integrated Energy Scenarios

include: Researching, in particular, publicly available data on current and future materials for energy technologies Implementing the materials in our technology database and in our energy system model