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evaluation of modal-decomposition techniques applied to data from high-fidelity numerical simulations of landing-gear aeroacoustics. The researcher will develop and implement modal-decomposition methods using
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. Advanced Functional Materials 31, 2006824. https://doi.org/10.1002/adfm.202006824 Profile and skills expected: - Master 2 (or equivalent) with knowledge of wave physics, instrumentation and a taste for
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Dortmund, we invite applications for the Research Group Analysis of Microscopic BIOMedical Images (AMBIOM): PhD Candidate (m/f/d) The position is part of the DFG-funded project: ComplexEye - a 96/384-well
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image analysis to extract cellular morphology and spatial features. Analyze multi-modal datasets combining transcriptomics, chromatin accessibility, imaging, and electrophysiology. Develop and apply
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Leaning interpretation methodology that exploits the complementary information provided by the three physical modalities embedded in the NDE probe (namely electrical resistivity, capacitive sensing, and
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image analysis to extract cellular morphology and spatial features.Analyze multi-modal datasets combining transcriptomics, chromatin accessibility, imaging, and electrophysiology.Develop and apply machine
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vitro assays for different immunotherapeutic modalities, specifically focused on bispecific T cell engagers therapies and antibody-drug conjugates Isolate and culture primary human T cells to create CAR T
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Dortmund, we invite applications for the Research Group Analysis of Microscopic BIOMedical Images (AMBIOM): PhD Candidate (m/f/d) The position is part of the DFG-funded project: ComplexEye - a 96/384-well
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some knowledge in classical AFM. The candidate must have a strong taste for experimental work (sample preparation, characterization) but also for data analysis via the development of codes using high
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, assembled several large biobanks of human and murine vascular tissues and patient data. Our platform enables large-scale, multi-variate and multi-modal analyses of genes, proteins and metabolites expression