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Institute for Chemistry is to perform excellent research and teaching in molecular and supramolecular chemistry. Core activities in the chemical sciences such as bioorganic chemistry, organic chemistry
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cancer (NSCLC), novel mutations often arise as a result of target therapy (kinase inhibitors), resulting in a lack of clarity for the most impactful treatment options. A molecular understanding of the
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‘RobotLab’, large numbers of experiments can be carried out, yielding large datasets on properties of molecular systems. With this data, ML models are trained to predict the properties of molecular systems
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research in the field of biomolecular sciences. Twelve vibrant research groups with strong roots in biophysics, biochemistry & molecular biology, cell biology, chemistry, computational biology, microbiology
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bulk and clonal protein expression data from large melanoma cohorts, integrate molecular, histological, and clinical data through machine learning (ML)/AI-assisted methodologies. Your expertise in ML
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, integrate molecular, histological, and clinical data through machine learning (ML)/AI-assisted methodologies. Your expertise in ML (Random Forest, SVM, Fully Connected Neural Networks) will be essential
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large datasets on properties of molecular systems. With this data, ML models are trained to predict the properties of molecular systems such as solubility, phase separation, critical micelle concentration
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to pharmacy, from neurosciences to computer science, and from molecular and evolutionary biology to marine biology. Our researchers pursue fundamental key questions while collaborating with partners from
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strong roots in biophysics, biochemistry & molecular biology, cell biology, chemistry, computational biology, microbiology or genetics are organized in two focal areas: ‘Molecular Mechanisms of Biological
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. These data will be complemented by data from a bespoke survey, designed and analysed by other members of the team. The results from the digital ethnographies will feed into spatial micro-simulation and agent