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environmental simulations and meaningfully advance the modeling of global lake ecosystem dynamics. This is a full-time, two-year position. The application deadline is May 15, 2025, and the expected start date is
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spinal cord as a model system. You will engage a systematic strategy to identify these mechanisms by generating innovative mouse genetic strains, identifying embryonic defects and the underlying molecular
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results into practical applications for end users. Subject Description The research aims to develop machine learning models for microbe detection, focusing on the mathematical foundations in geometry and
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tomorrow. About the department The main competences at the Department of Industrial and Materials Science are found in the areas of: Human-Technology Interaction Form and Function Modeling and Simulation
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systems, or network analysis. Experience with methods for causal inference, or modelling of biological systems is also considered a merit, along with prior work involving large-scale sequencing data such as
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efforts. The theoretical activities at Chemical Physics focus on electronic structure calculations within the density functional theory together with mean-field kinetic modeling and kinetic Monte-Carlo
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investigates inflammation in health and disease using cutting-edge exposure systems and advanced 2D and 3D cell models. In parallel, NanoSafety2 focuses on the toxicity assessment of particle emissions from
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education to enable regions to expand quickly and sustainably. In fact, the future is made here. We are announcing a postdoctoral position in tropical carbon cycling and modelling. The employment is full time
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evolution, and further to modelling. Investigating transcriptional profile of lncRNA. It can be expression quantification, alternative splicing, start sites properties. Performing AI modeling and developing a
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approaches and research themes here: www.scilifelab.se/researchers/lisandro-milocco/ This project leverages the rise of data-driven dynamic modeling—from fluid dynamics to ecosystem studies—to uncover