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methods (e.g., PCA, PLS-DA, clustering, neural networks) to enable automated, polymer-specific classification. Optimize workflows for high-throughput imaging and real-world sample variability, minimizing
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with privacy by developing techniques that optimize both aspects. The candidate will perform the work together with a team of postdoctoral researchers who are experts on the field and other PhD student
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networks, for their analysis and optimization, we use tools such as artificial intelligence/machine learning, graph theory and graph-signal processing, and convex/non-convex optimization. Furthermore, our
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the three-dimensional distribution of the phases and their structural parameters. You will optimize the spatial resolution at which the 5D ED data can be obtained. You will also help other researchers
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of robotics Solid mathematical foundation paired with practical robotics experience Strong programming skills in (at least one of) Python/C++ Familiarity with robotics frameworks like ROS; optimization-based
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to optimize experimental workflows, troubleshoot problems, and achieve project objectives. Profile You hold a degree in Biomedical Sciences, Biology, Chemistry (Professional Bachelor/Master/Engineer
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to develop and optimize experimental pipelines.Gain experience in both wet-lab and computational techniques to tackle some of the most important questions in microbiome science.Independently drive research
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biology, this research aims both to optimize inhibitors specifically for inhalation therapy and to investigate their mechanisms of action within infection models. You will organise your own PhD research and
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, analysis, and presentation of flow data Antibody titration, troubleshooting, and panel optimization Train new lab members and stay up to date with technological advancements Maintain organized records and
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optimization and validation and in addition, we aim to discover novel VHHs capable of crossing the blood-CSF barrier and delivering therapeutic cargoes to the brain. You will become an integral member of a