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Field
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with a PhD in Human-Computer Interaction, Remote Sensing, Geo-Information Science, Cognitive Science, or a closely related field. The ideal applicant possesses a strong technical foundation, as
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for deep access within the human body. The research remit will encompass: mechanical and electronic circuit design, prototyping, and pre-clinical evaluation of diagnostic and therapeutic devices to tackle
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automation, machine learning, mobile robotics, process control, sensor processing, machine vision, and/or human machine interaction. This position will require working with external partners, corporations, and
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for deep access within the human body. The research remit will encompass: mechanical and electronic circuit design, prototyping, and pre-clinical evaluation of diagnostic and therapeutic devices to tackle
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modelling, innovative and carefully-designed behavioural experiments, in-silico reconstructions of animal interactions, and bio-mimetic robotic systems. You will benefit from a vibrant and inclusive research
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the School of Biosciences. We are highly encouraging of collaborative interactions between groups. Role Summary Applicants will have a PhD in Biochemistry, Protein Engineering, Structural Biology or Synthetic
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develop research, coordination, and leadership skills. You will benefit from close interaction with a broad group of researchers across the network. About the project The postdoctoral fellowship position is
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-throughput functional genomics. We are also interested in bacteria-phage interactions and how phages alter bacterial physiology and microbial composition dynamics. The overall goal is to advance our
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innovation, establishment of a seagrass farm, and monitoring of a large living shoreline project. In addition to research, the post-doctoral scholar will be required to teach a 4-5 week-long field course each
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 23 hours ago
required for characterizing protein-ligand interactions. Contribute to the design, execution, and analysis of DEL-based ligand discovery campaigns, supporting the identification of novel chemical matter