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machine learning-based systems to integrate more renewable energy into our energy systems and make energy use more efficient. We develop new optimization methods, machine learning algorithms, and
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information at: http://www.ifw-dresden.de . The Institute for Metallic Materials (Prof. K. Nielsch) of the IFW Dresden offers Postdoc position (m/f/d) on the following topic: Thermoelectric Energy Harvesters
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of our work: Lauer et al. (2022): Metabolic engineering of Clostridium ljungdahlii for the sustainable production of hexanol and butanol from CO₂ and H₂, Microb. Cell Fact. 21:85 Kottenhahn et al. (2021
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dedicated to advancing the understanding of the molecular mechanisms of hematopoiesis, granulopoiesis, and leukemia development. We also develop innovative gene therapy approaches for hematopoietic stem cell
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, troubleshooting and routine upkeep Develop, optimize and validate sample-preparation and data-analysis workflows for spatial metabolomics, lipidomics and multimodal studies Act as contact for internal and external
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to translate this knowledge into innovative, optimized vaccine candidates (PMIDs: 35015104, 34990590, 33323394, 30439392; patent: WO2024003343A1). About the Project: You will contribute to a project
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) structures using high energy X-ray methods (scattering, spectroscopy, imaging) Design, optimization, and testing/benchmarking of reactors for operando studies Unravelling of relationships between catalyst
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engineering of Clostridium ljungdahlii for the sustainable production of hexanol and butanol from CO₂ and H₂, Microb. Cell Fact. 21:85 Kottenhahn et al. (2021): Hexanol biosynthesis from syngas by Clostridium
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variants on human traits and single-cell readouts. Our research group is pioneering computational methods for deciphering molecular variation across individuals, space, and time. We have a track record in
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objective of the research group ‘Crop Physiology’ is to understand the physiology of plants down to the structure and function of genes and proteins as well as relevant mechanisms, which allow optimizing