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consisting of PAT and mechanistic / data driven modelling allowing process control. Steps to be taken will be: Developing a process applicable PAT method (single / multisensoric) for AAV / LNP / VLP detection
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substrates while advancing our understanding of deep learning through dynamical systems theory. You will work with two cutting-edge experimental systems: (1) light-controlled active particle ensembles
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interest in one (or two) research projects as part of your application: C01 – Synthesis of organic dyes and redox systems for controlled assembly in mol2Dmat heterostructures (Prof. Eigler, 2 positions
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Tumor Biology – ideally with you on board! Our internationally renowned research team investigates cellular programs of gene control, epigenetics and signal transduction of mammalian cells, with a focus
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Description Reliable monitoring and control of water systems is essential to protect water resources, ensure hygienic standards, and enable sustainable infrastructure operation. As challenges evolve
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, chalcogenides, and semiconductor compounds, aiming to understand and control their growth. Analyze the deposited films and structures using scanning probe techniques and other complementary characterization
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funded by the German federal government and 10 percent by the state of Berlin. Job Description Our laboratory investigate how the nervous system processes sensory information to orchestrate motor behaviour
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, using techniques such as: High-dimensional data mining Tensor decomposition Causal inference Statistical process modeling Machine Learning Applications include public transport, private vehicles, traffic
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conditions and under the impact of the food supply chain, including food processing. In this context, the aim of the PhD project is to investigate the influence of drought stress on sulphur-containing plant
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with shallow water equations). Python coding for workflow control, data pre- and post-processing as well as model calibration and validation. High-performance computing (HPC) for running test cases and