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Field
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. We take a bottom-up approach to robotics and develop soft materials and devices that would enable unusual form and unconventional functions for broader robotic applications. Job description Track 1
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causal GRNs across millions of cells and tens of thousands of genes. Design robust objective metrics for evaluating methods and benchmarking against existing approaches. Demonstrate the unique capacity
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preparation of peer-reviewed publications relevant to project objectives support occasional teaching activities and contribute to the supervision of undergraduate and postgraduate students. The ARC-funded
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research group/supervisor from the list available in CINBIO’s website, as well as envisioned secondments, their objectives, extent, and benefits for the candidate’s career; 3) a summarized data management
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research alignment with commercial objectives Participate in regular progress meetings and technical discussions with industry collaborators Contribute to the development and maintenance of open-source
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learning, small data learning · Active learning, Bayesian deep learning, uncertainty quantification · Graph neural networks This position involves active participation in a well-funded
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-technical audiences and engage in stakeholder or end-user consultation. DESIRED CHARACTERISTICS: Demonstrated experience in models of opinion dynamics, Bayesian reasoning models, natural language processing
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the project's objectives and contributing to the development of innovative biomanufacturing technologies. Responsibilities of Position: Design and analyze complex bioprocesses using process simulation software
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The postdoctoral fellow will be involved in the CARPUS clinical study. The objective of this study is to identify plaques at high risk of stroke by highlighting neovascularization and intraplaque hemorrhage using
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element simulations to create intelligent design tools Industry Collaboration and Utilization Work closely with startup partners to ensure research alignment with commercial objectives Participate in