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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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possible date at the KlausTschira Institute for Integrative Computational Cardiology to join our interdisciplinary project at the forefront of RNA biology and sequencing technology. Project Overview
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applicants will also be considered. Hands-on experience in molecular assay development and NGS/nanopore sequencing applications ideally in a diagnostic or clinical setting Familiarity with or strong motivation
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CRISPR technologies Generate and analyze Next-Generation-Sequencing data Responsible for planning and performing of experiments in the framework of the scientific project plan Preparation and presentation
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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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culturing, integrating multiple automated subsystems with image-based machine learning models. Our objective is to enable robotic decision-making through machine learning, paving the way for a standardized
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Language Processing (NLP) and dialogue-oriented AI systems Ability to integrate multiple technical services and APIs (speech recognition, text-to-speech) Ideally, first experience with social robotics Willingness