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Field
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attracting highly qualified talent. We look for researchers from diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security
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catalysis Strong background in optimizing metal-catalyzed transformations We offer A full-time contract for 3 years. Incorporation: November 2026 An international and dynamic environment within a
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project is required to: Develop and implement advanced process and energy system models for integrated, low-carbon, and net-zero energy applications. Conduct research on energy systems integration and
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interact closely with industry partners. These engagements will play a vital role in ensuring success of programs and the adoption by project sponsors, and in developing your network across academia and
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. This position is designed for scientists with strong computational and quantitative training who are interested in agent-based modeling, network science, infectious disease dynamics, uncertainty quantification
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methods with optimization and decision-support models. Background in one or more of the following: time-series analysis, neural networks, forecasting, uncertainty quantification, sensitivity analysis
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research. Key Responsibilities: Develop, implement, and optimize machine learning/deep learning models for digital pathology image analysis Analyze large-scale histopathology, omics, and clinical datasets
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and stronger professional network, and gain experience in mentorship and academic service. Position Number: RC1460 Anticipated Salary: $63,480 - $90,000 (based on qualifications and experience
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-interaction networks associated with the centrosome and primary cilium, with particular emphasis on the molecular mechanisms linking protein disorder, multivalency, cellular organization, and human disease
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, pneumonia, and tuberculosis. Functional/ mechanistic validation of regulatory elements and gene networks controlling inflammation, immune memory, and tissue repair will be implemented using CRISPR inhibition