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development of early warning systems, risk assessment of pathogens; optimization of the calculation of disease burdens, visualization of complex correlations, Big Data analyses, automated analysis of high
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of existing methods and procedures for use in the joint project Evaluation, analysis, and visualization of data Documentation of laboratory work Collaboration with other project partners and regular
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dataDesigning hierarchical graph‑based models to predict toxicity under uncertainty by linking molecular‑level and system‑level knowledgeAdvancing causal inference methods to predict transformation products under
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selectivity design and optimization of electrochemical and photoelectrochemical reactors, including basic modeling and simulations in collaboration with theory partners quantitative data analysis and
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analysis, and/or optogenetic methods. Experience with developmental neuroscience, ion channel biology, mouse models, and quantitative data analysis is highly desirable. This Postdoctoral appointee may be a
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processing Graph signal processing Machine learning - supervised, unsupervised and reinforcement and tools such as TensorFlow, PyTorch, Keras and GreyCat Neuromorphic computing, spiking neural networks Deep
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learning analysis of biomedical data and bioscientific programming for projects on neurological diseases. The candidate should have experience in the analysis of large-scale biomedical data (omics, clinical
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into the transport, deposition, and long-term storage of plastics in the deepest parts of the global ocean. Relevant experience in (micro)spectroscopic analysis, image analysis, or environmental particle analysis will
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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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. Access to advanced infrastructure (including 7T MRI) is provided, alongside a growing campus with three new research buildings under development. Example research projects include: AI-based analysis