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research project “Cities. Building. Culture – The Residential Heritage of the Soviet Union in Times of Multiple Crises” funded by the Federal Ministry of Education and Research (BMBF). This international and
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support of your proposed individual research project. Then submit the following documents as a single PDF file via email to the program manager, Anna Kellerer (anna.kellerer@math.lmu.de) stating
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, Computational Biology, Applied Mathematics or related field Interest in interdisciplinary research Applied experience with machine/deep learning methods Ability to handle multiple projects in a dynamic
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methods (e.g. X-ray reflectivity, X-ray fluorescence) Design of cells and reactors for operando studies Coordination and execution of synchrotron beamtimes Collaboration with other groups, in particular
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reinforcement learning Strong project management and mentoring skills Excellent command of English; German is a plus but not required What We Offer A highly dynamic and interdisciplinary research environment
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innovation and serves the needs of the economy and citizens. Researchers from the fields of economics, law, and political science collaborate at SAFE. Within the European project ESG UPTAKE aimed to strengthen
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JUNIQ’s user platform by integrating QCs into the Modular Supercomputer of JSC Developing and conducting trainings for QC users Collaborating with project partners from academia and industry Presenting
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also undesirable outcomes such as stereotyping and other biases. These biases are reduced when people experience cognitive conflicts. In a DFG-funded project, we aim to test whether cognitive conflicts
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side projects and build networks inside and outside the institute Analyze diverse data sets for multi-omics integration in plant genetics Expand expertise and collaborations beyond plant research Our Lab
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phenotyping, including image analysis evaluations, for trait quantification Handle NGS datasets for RNAseq or SNP detection and linkage analysis using R Your qualifications and skills: You have a PhD or