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Field
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Position: This role focuses on advancing single-molecule microfluidic approaches for protein biophysics, bioanalysis, and biosensing. Key tasks include: Development and optimization of single-molecule assays
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harness advanced techniques such as machine learning, optimization algorithms, and sensitivity analysis to automate and enhance the mode selection process. The result will be a scalable methodology that
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labeling strategies be further developed and optimized for live-cell imaging, super-resolution microscopy, and cell-specific proteomics? How do neurons, glial cells, and immune cells communicate, and how can
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a family of specific peptide substrates for the PKs of interest (PKs of the JAK, GRK, IRAK, RIPK and ERK/MAPK families) (2) developing and optimizing fluorescent peptide biosensors from the identified
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creative, curious, and motivated to optimize, develop, and implement new ideas? If so, you are the personality we are looking for. You have completed a commercial training and bring several years
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optimize a multimodal pretargeted radionuclide therapy approach for PDAC, leveraging the simultaneous targeting of both neoplastic and stromal targets to enhance therapeutic outcomes and reduce associated
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leverage assets such as grid-level battery storage, and electrolyzers to have more flexibility when making trading decisions. The challenge then is how to optimally leverage such an asset to make viable
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optimization of synthesis conditions for selected electro-organocatalytic reactions. The PhD Student-Scholarship Holder (f/m) will be responsible for identifying new reaction pathways and optimizing reaction
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to optimally combine work and family life or other personal interests, we are able to support you with our modern employment conditions and the on-site infrastructure. Additional comments For further information
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cavitation and the effects observed on biofilms and bacteria, and to understand these links, in order, in the long term, to optimize and control this type of therapy. The profile of the PhD student (M/F) must