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project team on “Participatory Algorithmic Justice: A multi-sited ethnography to advance algorithmic justice through participatory design” (PARTIALJUSTICE) to examine issues of justice and participation in
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the collaborative research program “Precision Organoid Engineering for Multi-Organ Interaction Studies (POEM)”: https://www.uni-heidelberg.de/en/cctp-poem The POEM program aims to generate reproducible, micrometer
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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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for multi-scale and multi-physics modeling of SOC stacks/systems (Solid Oxide Cells) and contribution to optimization of existing model libraries for various application scenarios Validation of the developed
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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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biology Experience with multi-omics data analysis or AI-driven biomedical research is a plus Interest in tumor microenvironment, immune response, and systemic effects of local therapies Ability to work
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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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) Background: The position is embedded in the collaborative research program “Precision Organoid Engineering for Multi-Organ Interaction Studies (POEM)”: www.uni-heidelberg.de/en/cctp-poem The POEM program aims
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) Background: The position is embedded in the collaborative research program “Precision Organoid Engineering for Multi-Organ Interaction Studies (POEM)”: www.uni-heidelberg.de/en/cctp-poem The POEM program aims