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analysis tools Implementing continuous benchmarking of the library Optimization of the library algorithms and underlying data models for speed and memory efficiency Maintenance and improvement
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applications. This PhD project is part of a collaborative initiative combining synthetic biology, nanomaterials, and biomedical engineering, with the aim to develop remotely controllable bio-hybrid implants
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) structures using high energy X-ray methods (scattering, spectroscopy, imaging) Design, optimization, and testing/benchmarking of reactors for operando studies Unravelling of relationships between catalyst
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, computer science or engineering PhD in one of the above fields Proven knowledge and programming experience in at least one high-level language language (including Python) Experience in building web applications
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, maintenance, and optimization of analysis pipelines and related IT infrastructure execution of primary data analyses for various omics datasets (focus on NGS) involvement in collaborative projects, including
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Max Planck Institute for Dynamics and Self-Organization, Göttingen | Gottingen, Niedersachsen | Germany | 6 days ago
develop our state-of-the-art imaging systems by optimizing the hardware and integrating real-time data processing and analysis through machine learning techniques to achieve precise characterization
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16.05.2025 Application deadline: 06.06.2025 The Bacterial Metabolomics Group of the Cluster of Excellence "Controlling microbes to fight infections" at the University of Tübingen advertises a PhD
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laboratory PDF diffractometer, including the optimization of measurement protocols and combined mass spectrometry Experiments at synchrotron radiation facilities Analysis of powder X-ray diffraction (PXRD) and
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on the recently published DeepRVAT framework, which leverages advances in machine learning to learn an optimal rare variant aggregation function in a data-driven manner. You will have the opportunity to spend
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optimizing their properties for 3D bioprinting of different tissues. PhD topic 2: The research project addresses the possibilities to manipulate the thin film morphologies of block copolymers having charged