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that connect single-cell and spatial transcriptomic data to mechanistic, biophysically grounded models of gene regulation. There is also scope to work on exact and approximate solutions of stochastic models
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numerical experiments, analyze physical and biogeochemical model outputs, and compare model results with observational and reanalysis datasets. The position also offers opportunities to coordinate research
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, implementation of management treatments, and the use of coding and process-based models to analyze natural resource dynamics. Learning Objectives: Under the guidance of a mentor, you will build experience in plant
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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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. Together, we want to explore how small models can extract useful information on specific crime themes, such as drug trafficking, primarily from publicly available news sources. Relevant tasks include
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of Psychology at the University of Liverpool. This position focuses on the computational modelling side of the project. You will work on extending an existing model of noun and verb acquisition (Brusini et al
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approaches. Your profile We are looking for a curiosity-driven, highly motivated candidate with good communication and teamwork skills who can work independently in a goal-oriented manner. The candidate should
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Max Planck Institute of Molecular Cell Biology and Genetics, Dresden | Dresden, Sachsen | Germany | about 1 month ago
, and how their deregulation contributes to disease. The lab combines mouse and human organoid models with in vivo approaches and molecular and genomic techniques to study tissue plasticity and
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) Investigate the role of key transcription factors in regulating hematopoiesis in conditional knockout and knockin mouse models. Candidates should have obtained a PhD or an MD/PhD degree and research training in
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data-driven conservation interventions. This position is supported by the Bezos Earth Fund. Two central goals of GAIA are: To build an AI Genome Curation Assistant (Jarvis ): an AI system that combines