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environment with chemists, electronic engineers, and domain scientists. Main Tasks and responsibilities: Develop the MMPI-BO (Multimodal Physics-Informed Bayesian Optimization) optimization engine. Implement
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Optimization of molecules with antitumor therapeutic potential targeting DNA repair pathways Application of advanced molecular and cellular biology techniques in therapeutic oncology research Offered Permanent
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direction and publication. Research activities may include AI-assisted target discovery and biologic design, protein engineering and developability optimization, mechanistic studies in metabolic disease
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Experience developing pipelines and code for gravitational-wave searches and/or parameter estimation Knowledge of advanced Bayesian methods and samplers, machine learning approaches to signal processing
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techniques for the preconcentration of contaminants from water samples. Analysis of samples using methods based on LC-MS/MS and LC-HRMS (Orbitrap) following protocols for suspect screening, target analysis and
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Learning and parameterised quantum circuits. Analysis of multi-omic data for the identification of therapeutic targets. Migration of algorithms from classical simulators to IBM quantum hardware
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changes in condensate material properties and relate them to specific molecular interactions. Design and execute in vitro reconstitution experiments with purified proteins and targeted mutants. Collaborate
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efforts with hospitals and will bring in experienced doctors from abroad. In doing this, they aim to create a more targeted and skill-oriented approach to clinical medical education. “The key is to focus
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candidate will work on pioneering altermagnetic devices within the EIC Pathfinder Open project "AMSwitch". The research targets energy-efficient logic devices that exploit the Néel vector and Berry curvature
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targeted management interventions. As agricultural intensification increases, addressing soil compaction has become essential for maintaining soil health, crop productivity, and long-term ecosystem