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Field
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biogeochemistry. Experience applying machine-learning or AI methods to environmental data analysis, model calibration, or model-data integration. Experience synthesizing multi-source, multi-scale observational
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Apply online now: https://karriere.klinikum.uni-heidelberg.de/index.php?ac=application&jobad_id=29009 Data Scientist/Computational Scientist – Multimodal and Multi-Agent AI for Precision Oncology (m
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2026 are welcome to apply) Research experience in representation theory; topics of particular interest include p-adic representation theory, harmonic analysis, the Langlands program, Hecke algebras, and
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for Future State: process driven technology and work to reduce system and process variability by harmonizing workflows - Informaticist role on implementations and upgrades: focusing on workflow design
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to begin August 2027. Strong candidates working in any area of analysis, including harmonic analysis, measure theory, functional analysis, complex analysis, ordinary differential equations, partial
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biogeochemistry. Experience applying machine-learning or AI methods to environmental data analysis, model calibration, or model-data integration. Experience synthesizing multi-source, multi-scale observational
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with clinical datasets and EHR systems Prior knowledge of AI/ML-based tools and technologies for data harmonization and analysis is considered an advantage Personal Skills: Open-minded, critical thinker
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fundamental result in harmonic analysis concerning the HRT conjecture. The Research Associate will translate mathematical arguments into formally verified Lean 4 proofs, develop and improve proof code, maintain
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Research Associate in Microscopy School of Biosciences You will join a Wellcome Trust funded Discovery Award project aimed at developing a transformative multiphoton microscopy technology for
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of software tools for geospatial data management (e.g., QGIS, ArcGIS); - Knowledge of languages and advanced tools for the harmonization and analysis of qualitative and quantitative data (e.g., Python, Matlab