562 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL" positions at Nature Careers
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theory, machine learning interatomic potentials, machine learning Hamiltonians) for the investigation, optimization, and design of sustainable energy materials (especially batteries) Development
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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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software systems—robotics, controls, imaging, and data pipelines—into reliable, high-performance research tools. Develop and implement algorithms for machine vision, adaptive control, and real-time learning
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will have: ● PhD degree in molecular biology, genetics, biochemistry, biomedicine, medicinal and biological chemistry, bioinformatics, machine learning, biophysics, chemistry or similar, with adequate
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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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successful candidate will join the Security, Reasoning and Validation (Serval) research group and work on a research project related to the application of machine learning for official statistics. The subjects
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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