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to study grid stability, fault propagation, and recovery dynamics. Analyzing control and protection strategies using high-resolution time-domain models. Developing dynamic models for grid-forming and grid
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reliability and commitment good written and oral communication skills in English Experience with cell cultures, in vivo models, or confocal microscopy is desirable. We offer Collegial atmosphere in
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for the built environment. Particular emphasis is placed on artificial intelligence in construction, building information modelling, point cloud capturing and processing, as well as construction robotics. The PhD
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Your Job: This research primarily seeks to incorporate advanced neuron models, such as those capturing dendritic computation and probabilistic Bayesian network behavior, into unconventional
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THE FIELDS OF: ATMOSPHERIC PHYSICS AND CHEMISTRY, ELECTROCHEMISTRY, ELECTROCHEMICAL ENERGY STORAGE (BATTERIES), ELECTRONICS, ELECTRICAL AND MECHANICAL ENGINEERING, HIGH-PERFORMANCE COMPUTING, MACHINE LEARNING
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networking, and a collegial working atmosphere • Working in one of Germany's most popular cities All details can be found here Where to apply Website https://www.uni-regensburg.de/universitaet/aktuelles
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: Developing and applying simulation and optimization models to analyze energy flows, operational strategies and design decisions in a multi-energy system (power, gas, heat) Investigating different community
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–Ras signaling cascade Developing generative AI models for protein design within an existing multimodal framework integrating sequence, structure, functional, microscopy and molecular dynamics data
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highlight the potential of microbiome intervention in immuno-oncology. In our team, we actively integrate translational data, functional assays and preclinical models, to understand and overcome mechanisms
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reactors design, construction Development, design and production of a demonstrator on lab and prepilot plant scale and testing under real conditions (incl. and upscaling) Identification of critical operating