Algorithm Development for Biomedical Applications

Key Learning Objectives: 1. Technical Foundations • Learn the structure, variability, and challenges of biomedical data (e.g., noise, drift, motion artifacts). • Acquire foundational skills in biomedical signal processing, feature extraction, and machine learning approaches. 2. Algorithm Development • Design and implement algorithms for biomedical data pre-processing, classification, or trend detection. • Apply filtering, noise reduction, and adaptive methods suitable for continuous or real-time sensing. 3. Data Validation and Analysis • Evaluate algorithm performance using metrics such asaccuracy, sensitivity, and robustness. • Conduct validation using experimental or prototypedata • Compare algorithmic approaches to identify optimalmethods for specific biomedical targets. 4. Document and communicate development progress • Present technical findings through written reports, presentations, or demonstration prototypes. Intern’s Responsibilities: • Assist in data handling • Support algorithm development • Run experiments & document results • Review relevant literature, summarize findings and propose ideas for improvement • Ensure code and data management standards Training and Development: -What training will be provided to interns?(e.g., software tools, technical workshops, soft skills) • Technical and Research Training: Biomedical Data Processing Fundamental, Algorithm Design and Machine Learning, Data Validation and Evaluation Techniques • Software tools: git for version control • Soft skills: agile project workflow, documentation & reporting, literature (papers/patents) review skills -Will the intern be involved in any projects or team work? • Yes, will be involved in wearable algorithms development Benefits: • Allowance Provided – Interns will receive a monthly allowance to support their contributions. • Paid Annual Leave – Applicable to interns who complete more than 3 months of service. • Supportive Culture – Join a vibrant team environment that champions continuous learning, collaboration, and growth. • Global Exposure – Gain experience working within a well-established Japanese multinational corporation. • Supportive Environment – Enjoy guidance from approachable supervisors and camaraderie with friendly high calibre colleagues.