122 medical-sciences "Helmholtz Centre Potsdam – GFZ German Research Centre for Geosciences" positions at Forschungszentrum Jülich in Germany
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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
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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
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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
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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
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Your Job: The electrocatalytic interface engineering department led by Prof. Dr.-Ing. Simon Thiele focuses on synthesis, manufacturing, analysis and simulation of functional materials to find
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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
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Infrastructure? No Offer Description Work group: IBG-4 - Bioinformatik Area of research: Promotion Job description: Your Job: Analysis and integration of diverse biological data from the field of plant sciences
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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
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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
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. 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