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Field
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using experimental data from laboratory setups Validate models through targeted measurements and structured testing procedures Analyse loss mechanisms and system efficiencies under various operating
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremen, Bremen | Germany | 28 days ago
relevant information from ML models to understand the relationship between in- and output Experience in harmonizing and compiling real-world datasets from diverse sources Experience using Python or R and
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position of a PhD student (m/f/d) in the field of mountain forest management, 65%, available from January 2026 Your profile Completed master studies in the field of forest management, mountain ecology
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at https://www.fz-juelich.de/en/careers/phd Place of employment: Aachen We welcome applications from people with diverse backgrounds, e.g. in terms of age, gender, disability, sexual orientation / identity
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or Postdoctoral position (m/f/d) - Interpretable Machine Learning for Catalytic Reaction Network Discovery. A full-time PhD or Postdoctoral position is available in a collaborative Max Planck research
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Project (PhD Position) – AI-Guided Design of Scaffold-Free DNA Nanostructures Your Job: The field of structural DNA nanotechnology holds a great promise for the realization of all-DNA building blocks with
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and machine learning to establish a modeling framework that uses omic data for providing effective degradation rates of biomolecules and predictions of their impact on soil organic matter turnover
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and curate LC-MS/MS data for high-quality feature extraction Design and train machine-learning models for mass spectrometry and chemometric data Integrate multi-omic data including genomics and
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PhD Position - Neuroinflammation & Glial Biology (f/m/d) Hertie Institute for Clinical Brain Research, Neuron-Glia Interactions Lab, index number 6604 Part-time: 65 % Limited: 3 years Start of work
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High motivation and enthusiasm for working in an interdisciplinary research environment Research focus: The successful candidate will conduct research on data-driven modeling of transportation systems