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Steinrück), we investigate mechanisms and processes of chemical hydrogen storage using advanced methods (including large-scale research facilities) as well as modern data reduction and data evaluation methods
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software solutions. Experience with large-scale transformer models is beneficial but not required. You will: Familiarize yourself with the AtmoRep model and its training and implementation strategy
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Your Job: You will join the Simulation and Data Lab `AI and ML for Remote Sensing,` which aims to enhance visibility in interdisciplinary research between applications from remote sensing and large
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biology, Next Generation Sequencing, and structural biology Extensive experience in analyzing large datasets (especially genomics, transcriptomics, metagenomics, enzyme data, and structural data) Experience
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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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Your Job: You will support IAS-9`s data science and machine learning activities, working in a multidisciplinary team of enthusiastic data scientists, software developers, and domain scientists. Your
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, computer science, electrical engineering, mathematics or a related field Experience in quantum computer programming Experience in applying numerical methods and algorithms, preferably in the domain of QC, such as
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dynamics of energy materials on the atomic and mesoscopic scale using neutron methods, complementary X-ray experiments and support of further techniques including computer simulations Synthesis and
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Your Job: We are offering a postdoctoral research position in the context of the European Quantum Flagship collaborative project on Programable Atomic Large-Scale Quantum Simulation (PASQuanS2.1
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Your Job: Quantum computing is a promising, disruptive technology for solving optimization and simulation problems which is at the heart of energy grid design and operation. As part of a large