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in Bioengineering/Materials Science/Chemistry Strong experimental skills, especially in self-assembled monolayers, surface fabrication and characterization, and associated methods Excellent
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analytical biochemistry/chemistry or bioengineering, who will be tasked to conduct in depth biochemical characterization of alternative proteins and peptides using analytical methods such as high-performance
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Prepare manuscripts, reports and presentations Guide and train students and junior lab members Maintain complete documentation for modelling methods and analysis used Regular communications with supervisors
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skills to develop experimental methods, troubleshoot process issues, and interpret complex data sets. Utilize data analysis software, simulation tools, and relevant programming languages for modeling
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advanced data analysis methods, simulation tools, and scientific programming to support process modeling and predictive materials design. Translate experimental findings into scalable, commercially viable
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-end technologies (e.g., Node.js, Python/Django/Flask, REST APIs, SQL/NoSQL databases) Demonstrated knowledge of AI/ML methods, such as supervised learning, NLP, or deep learning, with application
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Control whose primary focus will be developing security solutions for expanding networked cyber-physical systems. This role will involve designing, analyzing, and implementing advanced control methods
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the project. The role will focus on development of direct ammonia solid oxide fuel cells. Key Responsibilities: Literature review of SOFCs and the preparation methods Synthesis, fabricate and evaluate
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hypothesis and design effective experimental plans. Ability to design and implement new experimental methods. Oversee and report project progress. We regret that only shortlisted candidates will be notified
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Responsibilities: Development of stochastic and analytical methods for nonlinear partial differential equations Implementation of relevant numerical experiments using deep learning algorithms Job Requirements: PhD