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Field
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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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. Qualifications for this position include a PhD in Computer Science, Artificial Intelligence, Natural Language Processing, Human-Computer Interaction, or a closely related field. Candidates should have demonstrated
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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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pipeline; build a prototype system that supports interactive workflow synthesis and question answering; collaborate with a technical assistant and two PhD candidates working on geodata/workflow modelling and
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accumulation in grains and vegetables, genotype by environment interactions using molecular biology, quantitative genetics, and bioinformatics methods. Nutrition-centered preclinical and human studies
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energy use and process efficiency. Support the design, execution, and evaluation of technical assistance efforts tailored to EII needs. Liaise with technical trade associations, program allies, and subject
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measurement by ICP-MS or ICP-OES Conceive, design, and implement innovative analytical methods chemical analyses using state of the art elemental and isotopic mass spectrometric systems. Publish and present
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if the position has not yet been filled. Position description The Ultrafast Nano-Optics Group at UC Berkeley is interested in probing and controlling light-matter interactions in condensed matter systems, with
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and methods, fostering innovation and accelerating progress in the development of efficient solar energy conversion technologies. Position Requirements Recent or soon-to-be-completed PhD (within