Beam and Device Characterization: Implement and optimize electron-optical systems and diagnostic tools, including cold cathode field emission testing, to characterize electron beam properties, beam-matter interactions at the nanoscale, and device performance.
Support collaborations with industry and healthcare partners to understand workflow pain points, user needs, business requirements and implementation constraints, and contribute to practical solution development.
As a Research Scientist (AutoResearch on LLM), you will focus on cutting edge AI-Driven AI development using Autoresearch(Automated Machine Learning) for Large Language Models (LLM). You will design and deploy automated research frameworks that autonomously discover. optimize, and train the next-generation LLM architectures. You will bridge the gap between hardware constraints and model design ensuring that the automatically optimized architectures achieve or exceed the pre-training efficiency and downstream performance of state of the art established base models
Conduct literature searches, using SPSS to enter data, and analyse data and maintain trial database, as well as assist in preparing both progress and final reports of the project;
Experience and Knowledge of operating HPLC, MALDI-TOF and Q-TOF Mass spectrometry for protein sequencing, carbohydrate/Sugar analysis, and polyphenol identification.
Communicate market outlooks and investment strategies effectively across internal channels, including Product Managers, Investment Consultants, and frontline sales teams.
Conduct market research, competitor analysis, and application studies to identify emerging industry trends, new customer requirements, and opportunities for developing new applications using the Company's products.