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. This research will use cutting-edge techniques leveraging automation and high-throughput methods to generate high-quality and large datasets providing novel insights into improving predictability of in vitro
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Python, MATLAB, C++, Julia, or similar Furthermore, experience within collaborative code development and usage of version control tools like git mixed finite element methods iterative numerical methods
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partners. Preferred Postdoc or ≥2 years research experience after PhD; first-author publications in relevant journals/conferences. Experience with multimodal data fusion (optical/SAR/soil/phenology
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of Telecommunications (IT) Research Unit, at the University of Aveiro, Portugal, with the following conditions: 1. Scientific Area: Industrial Automation Engineering, Computer Science, Electrical Engineering
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, and instruments to create edible structures (i.e. foods). We combine additive manufacturing, microfluidics, electrospinning, and in situ physio-chemical reactions to achieve unprecedented control over
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have spread throughout the acoustics profession. The ISVR has excellent experimental facilities including anechoic and reverberation chambers, a 6-axis motion simulator and multiple audio focused
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, or a related field Extensive experience in the controllable synthesis of nanomaterials. Expertise in machine learning-assisted materials design and process optimization. Expertise in
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of Birmingham is inviting applications for a Research Fellow position focused on Machine Learning for Automated Formal Verification. Machine learning has transformed programming, with code generation rapidly
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working with multiple stakeholders is required, with expertise in qualitative research approaches paramount. The successful applicant will join the friendly and highly motivated research team in the Centre
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presentation of data to relevant stakeholders Generating conference presentations and papers for submission to peer reviewed journals Collaborating across teams, contributing to multiple research projects