58 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions at Nature Careers in Germany
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research group “Machine Learning for Biomedical Data” led by Prof. Dominik Heider and is embedded in the DFG-funded Collaborative Research Centre 1748, Principles of Reproduction. The CRC 1748 involves
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, the Helmholtz AI consultant team has been providing Machine Learning (ML) and AI expertise to Health research scientists from Germany’s largest research organization, the Helmholtz Association, with great success
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PhD student (m/f/d) in the field of chemistry, chemical engineering, materials science or comparable
polyoxometalates Using suitable characterization methods to characterize the synthesized materials Using machine learning tools to tune the synthesis parameters in a feedback loop and enhance the properties
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), proteomics (LC-MS/MS), (epi)genomic data processing, multi-omics integration, machine learning approaches for high-dimensional data, confocal / two-photon imaging, tissue clearing and light-sheet microscopy
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skills in data science, advanced AI interface development and machine learning?to apply climate change and other relevant data to real-world problems exchange and coordination with project partners Your
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-performance climate computing and data facility. Our expectations: outstanding scientific credentials and relevant research activities in high-performance computing, machine learning, or AI significant
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of image processing e.g. using machine learning German skills For further questions, contact Dr. lmke Greving (imke.greving@hereon.de). We offer you an exciting and varied job in a research centre with
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, ATAC-seq, CUT&RUN, MERFISH, Visium), epigenomic data processing (chromatin accessibility, histone marks, enhancer mapping), multi-omics integration using Seurat, Signac, Harmony, ArchR or Scanpy, machine
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analysis in cleared tissues Working knowledge of image analysis and automation is welcome Examples: Fiji ImageJ, Python for batch processing, napari, basic ML or deep learning toolchains Advantageous but not
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-standing reputation for pioneering machine learning and AI methods in molecular biology, in particular on single-cell genomics. Your tasks Coordinate the international open-source developer scverse community