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Anatolia and from the Tigris to the Mediterranean with a focus on visual culture. Qualifications Applicants must hold a PhD degree in Classical Archaeology or closely related disciplines and be able
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solutions and policy impacts. You will design and implement machine-learning algorithms that interact with your simulation framework for scenario discovery, building surrogate models of simulation outputs
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interaction network, predicting disease-disease relationships and systemic disease transitions. Particular attention will be given to regulatory pathways amenable to therapeutic intervention, such as protein
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interaction network, predicting disease-disease relationships and systemic disease transitions. Particular attention will be given to regulatory pathways amenable to therapeutic intervention, such as protein
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qualification, you must hold a PhD degree (or equivalent) in computer science, computer engineering, or electrical engineering. Hardware design in a hardware description language such as Chisel, VDHL, or Verilog
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Electro in the Quantum and Nanophotonics Section , which focuses on leveraging fundamental light-matter interactions for applications in sensing, optical communications, and quantum technologies
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for sustainable food production and consumption. We will achieve this by tailoring plant protein ingredients with superior functional, palatable, and nutritional properties through novel protein design and in-depth
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artificial intelligence (AI), machine learning, internet of things (IoT), chip design, cybersecurity, human-computer interaction, social networks, fairness, and data ethics. Our research is rooted in basic
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two PhD students in the groups, and your newly developed tools will support the analysis and interpretation of their data. You will interact strongly with several international collaborators, both
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Applications are invited for a post-doctoral position to develop and apply advanced mass spectrometry and data analysis methods to investigate plant-microbe interactions in soil, within the research