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potentials and Hamiltonian learning approaches for organic-inorganic interfaces, such as organic battery electrode/electrolyte interfaces and defect-containing solar cell interfaces Perform molecular dynamics
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performance of materials and devices. Contribution to scalable fabrication of multi-cell devices and their validation using representative low-grade heat sources. Analysis and interpretation of experimental
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optimization of the electrical, electrochemical, mechanical, and energy-conversion performance of materials and devices. Fabrication and validation of multi-cell devices under representative low-grade heat
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About the position The exact tasks will depend on the skillset of the researcher and desired employment duration, but will include anaerobic cultivation of bacteria, single cell RNA sequencing, and
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duration, but will include anaerobic cultivation of bacteria, single cell RNA sequencing, and communication with collaborators. Your profile The applicant must have expertise in molecular methods and be able
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to develop and utilize innovative, interpretable data-driven analysis methods to significantly advance our understanding of immune cell inter-relations within the cancer microenvironment. We will apply
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tissue formation, and limited spatial precision. Building on our recent advances in enzyme-triggered electrode fabrication in living systems (Strakosas et al., Science, 2023, https://doi.org/10.1126
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the graduate school. The DDLS program has four strategic research areas: Data-driven precision medicine and diagnostics, Data-driven transmission and infection biology, Data-driven cell and molecular biology
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severe side effects. A major challenge is monitoring treatment efficacy in detail and detecting relapse early. This project addresses that challenge by analyzing cell-free RNA in patient blood samples
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experimental and analytical components and will be carried out in close interaction with another PhD student in the group who has a stronger wet-lab focus on reservoir biology, cell culture, and intact/defect