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problems and have published research in this field. You possess excellent knowledge of constraint programming and evolutionary algorithms for scheduling. A high level of motivation and commitment
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of algorithms and models to realistically simulate forest ecosystem dynamics under varying conditions of land use change, forest and land management, climate variability, and other environmental stressors
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stability of swarm behaviour, and validate novel control strategies that quickly adapt to rapid changes in supply/demand. New effective market, contracting, and algorithmic mechanisms are needed to be derived
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, prove the convergence and stability of swarm behaviour, and validate novel control strategies that quickly adapt to rapid changes in supply/demand. New effective market, contracting, and algorithmic
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development and application of novel algorithms and machine learning/AI techniques for extracting insights from biological data sets (genomics, proteomics, imaging, neuroscience), and related areas
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minimizing error and maximizing efficiency, is computationally challenging—no known polynomial-time algorithm exists to solve it optimally in all cases. Because of this complexity, researchers typically rely
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Responsibilities Computational Modeling & AI Development Train and fine-tune ESM (Evolutionary Scale Modeling) protein language models on curated datasets to generate novel protein sequences Develop and optimize
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of algorithms and models to realistically simulate forest ecosystem dynamics under varying conditions of land use change, forest and land management, climate variability, and other environmental stressors
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for autonomous drone systems Multi-agent cooperation using Reinforcement Learning and control barrier functions Mission planning for aerospace systems using evolutionary algorithms and Reinforcement Learning
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, algorithms and systems architecture. Interest in functional programming and other programming paradigms is also relevant. ETL, data wrangling and data analytics Competence in mathematics/statistics