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innovative research approach and a necessary inclusion of subaltern and non- Western practices. The cooperation with Mexican institutions allows a multi-pronged investigation of temporalities of the future in
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and material characterization. Experience with electrochemical methods and material synthesis. Ability to work as a member of an international, multi-disciplinary team. Excellent communication and
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`liquid-liquid phase separation' (LLPS). We will use programmable, multi-component model systems of biomolecular phase separation to investigate the transport of biomolecular information, stress, and light
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committees is English; Very good spoken and written command of English, willingness to learn German during the duration of the employment. You can expect: A motivated, multi-cultural team of international
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planning and control algorithms Multi-modal perception techniques (e.g., vision, tactile, force) Machine learning models for physical behavior prediction and manipulation strategy adaptation Real-world
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research studies for automated image analysis. In particular, you will: Plan, develop, and implement AI/ML algorithms for pathology image analysis. Integrate multi-modal data (e.g., genomics, clinical data
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to identify transcription-factor master regulators and derive targets for gene editing / TILLING. You integrate multi-omics data to identify genotype-phenotype associations. You ensure FAIR data management
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English Your experience should be documented in research papers and Open Source code projects Self-motivated personality, curiosity about working in a multi-disciplinary team environment on scientifically
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at the Berlin institutions of the Prussian Cultural Heritage Foundation (SPK). Funding is available for research projects, if they are related to the multi-faceted institutions of the Foundation. The programme
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of Livestock Systems is newly established at TUM and will include several postdocs, PhD students, and technical staff. The team will work on various topics, including multi-scale analyses of productivity