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Field
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role Conduct research on data quality and long-term reliability in smart sensor systems for industrial monitoring Develop methods, models, and computational tools for sensor data validation, anomaly
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Science, or a closely related field Prior coursework and working experience in data science, machine learning, statistics, or related areas Proficiency in Python for data analysis and modeling, machine learning
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as instructed. Purpose As a part of a multi-disciplinary, integrated research team, the candidate will participate directly in efforts to ground deformation assessment and numerical modeling of ground
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against Seasonal Influenza for the current Flu Season, unless the University has granted the individual a medical or religious exemption. Additional infection control and safety policies may apply
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effective treatment for these diseases, and the project will entail a search for novel therapies in cell models, which could be moved onto animal models and eventually, affected patients. This will include
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the project topic Preferred selection criteria Experience from previous postdoctoral research work Knowledge about plant molecular, cell and/or stress biology in model and/or crop plants Experience from
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publications in peer-reviewed journals. Strong command of spoken and written English. Highly desirable: Experience with nanostructured and/or high-entropy materials. Background in plasma-based deposition
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AI4TECS aims to develop the first AI‑powerAd system that integrates real‑time EC identification using non-target high resolution mass spectrometry data, toxicity prediction, and transformation modelling
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acid kit protocols. Perform quality control on nucleic acids with Nanodrop, Qubit, Bioanalyzer, and gel electrophoresis, prepare DNA dilutions in 96‑well plates for sequencing, and coordinate with
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Max Planck Institute for Political and Social Science, Göttingen | Gottingen, Niedersachsen | Germany | 25 days ago
closely related disciplines are also welcome Strong analytical and methodological skills (quantitative and/or qualitative) Excellent command of written and spoken English Ability to work in an international