Algorithm Development for Biomedical Applications
2 weeks ago
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 as accuracy, sensitivity, and robustness. Conduct validation using experimental or prototype data Compare algorithmic approaches to identify optimal methods 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. #J-18808-Ljbffr
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