39 model-driven-development "Integreat Norwegian Centre for Knowledge driven Machine Learning" Postdoctoral scholarships
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Yang (Research Team Leader at MPIC). The project aims at developing AI-powered molecular modeling tools to uncover how molecules form atmospheric aerosols — tiny particles with huge impacts on climate
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Dana Foundation Professional Development Awards Eligibility: Applicants must be currently affiliated with an academic or non-profit institution in the United States and enrolled in a training
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Including Renewals: 6 months Objectives To develop and validate a hierarchical, time-dependent forecasting framework for the COVID-19 pandemic, integrating heterogeneous epidemiological and data-driven models
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neurodevelopment with a focus on how NR2F1 dosage shapes the specification of neuronal lineages and the formation of cortical circuits. NR2F1 is a key transcription factor controlling embryonic neuronal development
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zonotopes in digital circuits and the model checking of discrete-space systems, with the goal of developing methodologies and tools that make verification scalable and reliable. Your research will focus
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using cutting-edge computational methods. If you are driven by curiosity about biological questions, eager to push the boundaries of what is computationally possible, and want your work grounded in real
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-edge computational methods. If you are driven by curiosity about biological questions, eager to push the boundaries of what is computationally possible, and want your work grounded in real clinical data
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for manufacturing operations. Process control: process modelling, control, and optimization, with applications in chemical and pharmaceutical manufacturing; data-driven modelling and machine learning applications in
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involving Potsdam Institute for Climate Impact Research (PIK, Germany) and University of Zurich (UZH, Switzerland). Topics of research will include the mathematical modeling and simulation of the development
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training and prepare them for an academic career at SIT. This award aims to enhance the teaching capabilities of the recipient and help build a strong research portfolio. Eligibility and Selection Criteria