28 finite-element-analysis Postdoctoral positions at Northeastern University in Ireland-University-Ranking-2024
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QUALIFICATIONS: • PhD in Electrical and Computer Engineering, Mechanical Engineering, Physics, or a closely related field. • Demonstrated expertise in MEMS/NEMS design and modeling, including finite element
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., Multiphysics finite element analysis, Matlab, Labview etc.) cleanroom experience, and characterization of electronic devices are required. Further, knowledge of system level integration and haptics feedback in
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and data science. This cycle's focus is on AI-powered data analysis to advance hypothesis-driven research related to addiction. Computational analysis of previously collected data can increase the speed
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-powered data analysis to advance hypothesis-driven research related to addiction. Computational analysis of previously collected data can increase the speed and efficiency of life sciences research
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, to guide the design of metal-free cyclopropenimine catalysts, substrates, and reaction conditions for the synthesis of polyurethanes and polycarbonates. Qualifications : Candidates should have a Ph.D. in
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-on experience with metabolomics samples preparation and measurement by LC/MS or GC/MS. A demonstrated proficiency in protein chemistry and protein biophysical analysis are also preferred. Prior experience with
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dynamometry. Develop and maintain analysis pipelines and ensure data quality across sessions. Prepare manuscripts, conference abstracts, and grant applications as first author and contributing author. Develop
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in cortical circuits mediating defensive responding. Responsibilities will include rodent colony management, stereotaxic surgery, behavior testing, fiber photometry protocols and data analysis, brain
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and computation, involving the analysis of feedback controllers in systems and synthetic biology, the analysis of algorithms, and merging of ML and mechanistic approaches to deal with context effects
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conditions. Bioinformatics skills relevant to genomics-driven natural products discovery, including genome mining, biosynthetic gene cluster analysis, sequence alignment, and annotation. Strong quantitative