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Field
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architectures and training algorithms, uncertainty quantification, high-dimensional stochastic systems and high-dimensional partial differential equation systems. Multiple positions available. About the T-5 Group
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, during neuron differentiation and stress response. By applying a model from epidemic spreading, you will develop a new mathematical model of actual molecular mRNA-protein mechanisms. By combining
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with physics-informed neural networks, automatic differentiation, neural ODEs, or other physics-aware DL techniques. Skill in programming languages such as Python, C/C++, Go, Rust etc. Ability to model
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. ● Experience with neuronal and/or microglia differentiation using iPSCs. ● Experience culturing and assaying neuronal cultures (human iPSC-derived neurons). ● Experience with immunocytochemistry, confocal
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focuses are: 1) Investigating the underlying molecular mechanisms by which 3D genome topology controls the hematopoietic transcription program and lineage differentiation in normal and malignant
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/10.1016/j.isci.2022.104225 ), their 3D organization in the bone marrow, and the cell-to-cell interactions that define cell differentiation. Furthermore, we are investigating – through the same technologies
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dynamical systems theory, including differential equations, simulation techniques, state-space and input-output representations, time-delay embedding, and/or time series analysis from experimental data
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/or their active counterparts. • To perform direct numerical simulations of the continuum partial differential equations of fluid dynamics, solid mechanics, soft matter or active matter
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neuroscience – questions such as, "How do neural stem cells choose between self-renewal and differentiation?" "What mechanisms generate the large diversity of neurons within the brain?" "How do these neurons
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key skills and the diverse perspectives you bring. Our commitment to fostering an inclusive work environment means we also account for geographic differentials. Your journey with us is about more