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Field
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of precision fermentation or cell culture - Affinity towards technical tasks and bioprocess control - Advantageous: Experience in mathematic modeling, programming, CAD, microfluidic or bioreactor systems
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Leibniz-Institute for Food Systems Biology at the Technical University of Munich | Freising, Bayern | Germany | 2 months ago
the form of graphs to analyze and predict food-effector systems. Key Responsibilities Develop Probabilistic Machine Learning Models to integrate graphs and food-related omics data Multi-omics integration
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Max Planck Institute for Solid State Research, Stuttgart | Stuttgart, Baden W rttemberg | Germany | 3 months ago
Materials / Electronic Structure & Quantum Many-Body Theory / Nanoscience / Solid State Spectroscopy / Solid State Ionics & Batteries / Bioinspired Materials / Quantum Electronics / Organic Electronics
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tailored computational methods are needed. This project aims at combining probabilistic machine learning methods with prior knowledge in the form of graphs to analyze and predict food-effector systems. Key
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Making (Prof. Dr. Clemens Thielen), located at the TUM Campus Straubing for Biotechnology and Sustainability (TUMCS) and affiliated with the Department of Mathematics. The PhD project investigates how
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We welcome applications from people with diverse backgrounds, e.g. in terms of age, gender, disability, sexual orientation / identity, and social, ethnic and religious origin. A diverse and inclusive working environment with equal opportunities in which everyone can realize their potential is...
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for therapeutic intervention. This PhD project will leverage large-scale single-cell RNA-seq and spatial transcriptomics datasets from infection biology to develop models, including transformer-/graph-based models
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coverage of both theory and empirical analysis, the PhD programme at GSEFM offers a two-year cycle of doctoral-level courses developed specifically to transmit a rigorous methodological framework in the core
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procedures with qualitative research. It forms the methodological center of the SFB [in:just] and contributes to the development of theory and methodology through cross-project data analysis. Your tasks
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for therapeutic intervention. This PhD project will leverage large-scale single-cell RNA-seq and spatial transcriptomics datasets from infection biology to develop models, including transformer-/graph-based models