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Graduiertenzentrum Gesellschaftswissenschaften (KIGG) The Inter-University Doctoral Programme in Economics (MAGKS) Circular economy of urban carbon flows through innovative bio-waste recovery pathways (CirCles
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undermine this future. Can you see how Machine Learning, Computer Vision, and Robotics can open up opportunities for autonomously operating agricultural robots? Are you passionate about making agriculture
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materials systems at the molecular level with machine learning. The PhD Student will undertake a study analysing mass spectral imaging data streams in real time using machine learning workflows. A pathway for
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materials systems at the molecular level with machine learning. The PhD Student will work with tumour sections to develop multiple instance learning and weak supervision / spatial transcriptomics models
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the development of both, the quantum internet and distributed quantum computing. The objectives of this PhD thesis project are: (a) Demonstrate spin-photon entanglement with single colour centres in silicon carbide
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and waste heat sources will need to integrate multiple supply options with varying temperature levels. To support effective planning, energy professionals at the district and city level must be able
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REQUIREMENTS The Tomato Genetics and Breeding Program in the Department of Plant Science at Penn State University is seeking a part-time researcher to assist with field-based tomato breeding and cultivation
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will be self-motivated, think critically, and thrive in a multidisciplinary environment that integrates experimental and computational approaches. General Responsibilities As a Researcher Senior Lead
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Synchrotron and the Super Photon Ring (SPring-8) Synchrotron in Japan, where our students also regularly conduct their own experiments. Project areas include: Colour (spectroscopic) X-ray imaging in multiple
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qualifications As our new colleague in our research team your job will be to develop novel computational frameworks for machine learning. In particular, you will push the boundaries of Scalability, drawing upon