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Field
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/ML techniques for optimizing RFIC design and system performance would be an added advantage. Able to work independently and possesses strong research skills. Excellent verbal communication and
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factor – DNA binding, detecting protein – protein interactions or enzyme optimization. Main responsibilities The candidate will use and develop methods within one, or preferably multiple, of the following
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. Lab maintenance, including equipment maintenance and ordering of supplies as needed. Optimize actuation for desired robot hand function and to facilitate prototyping. Optimize material properties
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technical background in at least one of the following areas: Mathematical optimization, Resource allocation, Machine learning, Wireless communication. Good communication skills in oral and written English
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research Strong mathematics background for optimization and analytical modelling of complex systems Programming languages including C++/Python and script languages For informal queries please contact
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into cardiomyocytes for heart regeneration. Explore novel strategies combining optimal cardiovascular cell types and bioengineering/biomaterials for heart cell therapy. Operates with considerable actions or decisions
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. Lab maintenance, including equipment maintenance and ordering of supplies as needed. Optimize actuation for desired robot hand function and to facilitate prototyping. Optimize material properties
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research interests in one or more of the following subfields: scientific machine learning, optimization, deep learning, uncertainty quantification, (Bayesian) inverse problems, reduced order modeling, high
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. The design and integration of CHIPLETS is a complex multi-physics task that requires substantial design space exploration and co-design and co-optimization accounting for the electrical, thermal and mechanical
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substantial conversation and collaboration with other disciplines. This postdoctoral fellowship program aims to create a cohort of researchers optimally positioned to address questions about the nature