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Field
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models. Expected Results: Ability to assess the influence of demise process on the release of emissions into different atmospheric layers. Numerical model to describe the temporal and spatial dispersion
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Higher Education and the German Federal Ministry of Education and Research. Our group use stem cell models, high throughput sequencing technologies (ChIP-seq, ATAC-seq, RNA-seq, Hi-C), CRISPR-Cas9 mediated
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posts,PHD Thesis Starting date: 30.10.2025 Job description: DESY Foundation models are multi-dataset and multi-task machine learning methods that once pre-trained can be fine-tuned for a large variety of
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bioinformatics and modelling. Detailed information on the research groups available for supervising PhD projects in the current application call can be found on the website of the IMPRS MolPlant. Our Offer — We
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Models for Real-World Healthcare (MLCARE project DC3). The position is funded by the MSCA Doctoral Network MLCARE (Machine Learning Computational Advancements for personalized mEdicine). The MLCARE
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Max Planck Institute for Heart and Lung Research, Bad Nauheim | Bad Nauheim, Hessen | Germany | about 2 months ago
in vitro and in vivo. The Autonomic Research Group (Dr. Karin Ziegler) is looking for a PhD candidate to investigate the molecular fingerprint of sympathetic dysfunction in different disease models
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Agreement for Public Service in the Federal States (TV-L). About the project: This project uses a powerful glass-brain vertebrate model - transparent zebrafish larvae - to unravel how sleep deprivation
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bioinformatics and modelling. Detailed information on the research groups available for supervising PhD projects in the current application call can be found on the website of the IMPRS MolPlant. Our offer We
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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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, integrative biology approach that utilizes human pluripotent stem cell based model systems, high throughput functional genomic screening and big data based machine learning, bridging the scales from genetics