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Field
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of design rules for 3D printed parts that are fabricated by various additive manufacturing (AM) and hybrid manufacturing processes. Development of analytic models, simulation, and optimization for the AM
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optimization for the AM processes and design automation for AM process. Development of a predictive model for AM and hybrid manufacturing processes using Digital Twins Development of 3D printing technology
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do: Design, fabricate, characterize, and optimize electrochemical biosensing technologies for real-time detection. Develop and implement novel surface chemistries to improve sensor performance
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screening and engineering for microbial bioprocess development; microbial physiology and adaptation for industrial applications; high-throughput screening and automation for strain optimization
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developing optimized modules in C#/C++ within Unity and/or Unreal Engine Experience with database management systems For network engineer role: Experience in computer networking, multiplayer architecture, and
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The appointees will assist the project leader in the research project - “Adaptive 3D printing: design, manufacturing, modeling and optimization”. Qualifications For the post of Research Fellow, applicants should
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team. Learn more about the innovative work led by Dr. Don Ingber here: https://wyss.harvard.edu/technology/human-organs-on-chips/ . What you’ll do: Design, fabricate, characterize, and optimize
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calculations; Experience with developing, training, and optimizing neural networks or other machine learning models. For this position we are targeting a salary corresponding to Level 4 Spine Point 28 - 30
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to candidates with knowledge and skills in optical communications and signal processing for communications. Work Objectives: The objective of this project is to develop: 1) optimized pre-amplification schemes
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. Research areas include Representation Learning, Machine learning and Optimization on graphs and manifolds, as well as applications of geometric methods in the Sciences. This is a one-year position with