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invasive sensing tools to monitor metabolites, oxygen, carbon dioxide, pH, and other parameters. Ideally, the methods can function in parallel and on a large scale. The research is vital to understand key
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developing data-driven modelling strategies, the professor will derive rules governing biological robustness across multiple organizational levels and enable predictions for systems’ behavior under
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developing data-driven modelling strategies, the professor will derive rules governing biological robustness across multiple organizational levels and enable predictions for systems’ behavior under
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-resolution MS platforms is a strong plus Willingness to manage and initiate cooperative projects Service-oriented mind-set with excellent organizational and communication skills; ability to manage multiple
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or cognitive science or related Programming skills, particularly in Python (including interface integration) Experience with handling LLMs (e.g., GPT-4) and their API interface Basic knowledge in Natural
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nanobelts. Your profile: We are looking for experimentally skilled candidates, ideally experienced in multiple-step organic synthesis Prior work on fused aromatic compounds is certainly advantageous
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aromatic nanobelts. Your profile: We are looking for experimentally skilled candidates, ideally experienced in multiple-step organic synthesis The candidate needs to have a PhD degree in Chemistry (with a
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candidates with a background in cell cycle regulation/mitosis and cell biology. The duration of mitosis is tightly regulated by multiple factors, including the spindle assembly checkpoint (SAC
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applications for a Full Professorship (W3) in “Multimodal Imaging” (f/m/d) to be filled at the earliest possible date. We are searching for a researcher with an internationally visible, original research program
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projects and collaborative teaching programs. Track records in the areas of human-environmental relations, cultural heritage and/or geoarchaeology are advantageous. Her or his tasks include teaching lectures