STEM / applied
Experimental methods · Undergraduate · Physics
Topics
Advanced instrumentation
- PID control for experimental parameters
- DAQ systems: NI, LabVIEW, or Python
- Spectrum analyzers and FFT pitfalls
- Low-temperature thermometry
- Cleanroom and nanofabrication overview
Data science for labs
- Automated pipelines and metadata schemas
- Bayesian inference for parameter estimation
- Machine learning for anomaly detection (cautious use)
- Open data and reproducible analysis
- Visualization for publication figures
Professional practice
- Writing SOPs and risk assessments
- Equipment maintenance schedules
- Collaborating with machine shops
- Budgeting for consumables and parts
- Presenting experimental results at conferences
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$60.00 · 60 min · Undergraduate · Online ($60/hr)
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