582 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"Simons-Foundation" positions at Nature Careers
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for engineering biology. GBI researchers will also be supported by cutting edge facilities including mass spectrometry, flow cytometry, sequencing, automation, scientific computing, bioinformatics, and machine
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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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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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, advanced soil analysis, and modelling. The research involves field work in Western Australia’s unique ecosystems, applying cutting-edge imaging, spectroscopy and molecular techniques, and leveraging machine
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/ computer vision and pattern recognition, including but not limited to biomedical applications Strong interest in applied machine learning, including but not limited to deep learning Experience utilising GPU
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artificial intelligence, machine learning, and the life sciences to shape the future of data-driven biology and biomedicine. We are seeking visionary researchers whose work pushes the boundaries of AI-enabled
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related field. Demonstrated Expertise in one or more of the following areas: Bio and AI: Theoretical and computational biophysics Machine learning and data analysis for biological systems Biomedical imaging
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measure gravitational effects on entangled photons for shining light onto the interface of quantum physics and gravity? Can we exploit quantum photonics technology for novel quantum machine learning
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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