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Analyzing biomechanical hand movements with motion capture and EMG for clinical research. Experience with marker-based motion capture and electromyography techniques required. Association with FAU graduate schools, comprehensive health promotion program.
Requirements
- Above-average Master’s degree or comparable university qualification in medical engineering, sport/movement science, sports technology, biotechnology, computer science or similar fields
- Experience with motion capture methods (marker-based motion capture and electromyography techniques)
- Strong knowledge in at least two of the following areas: biomechanics, movement science, statistics, machine learning, programming skills
- Good understanding of musculoskeletal function and human movement
- Strong knowledge of human movement and physiology
- Solid understanding of musculoskeletal function and biostatistics
- Interest in clinical sciences
- Good English language skills
- German language skills sufficient for communication with patients
Tasks
- Analyze biomechanical hand movements
- Conduct statistical analysis of relevant parameters
- Document and report results
- Collect data on hand function using motion capture, EMG, and clinical tests
Education
- Master's degree
Languages
- English – Business Fluent
Benefits
Diverse Work
- Interesting role in a motivated team
- Participation in international projects
Other Benefits
- National and international collaborations
- Possibility of association with FAU graduate schools
Healthcare & Fitness
- Comprehensive health promotion program
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Analyzing biomechanical hand movements with motion capture and EMG for clinical research. Experience with marker-based motion capture and electromyography techniques required. Association with FAU graduate schools, comprehensive health promotion program.
Requirements
- Above-average Master’s degree or comparable university qualification in medical engineering, sport/movement science, sports technology, biotechnology, computer science or similar fields
- Experience with motion capture methods (marker-based motion capture and electromyography techniques)
- Strong knowledge in at least two of the following areas: biomechanics, movement science, statistics, machine learning, programming skills
- Good understanding of musculoskeletal function and human movement
- Strong knowledge of human movement and physiology
- Solid understanding of musculoskeletal function and biostatistics
- Interest in clinical sciences
- Good English language skills
- German language skills sufficient for communication with patients
Tasks
- Analyze biomechanical hand movements
- Conduct statistical analysis of relevant parameters
- Document and report results
- Collect data on hand function using motion capture, EMG, and clinical tests
Education
- Master's degree
Languages
- English – Business Fluent
Benefits
Diverse Work
- Interesting role in a motivated team
- Participation in international projects
Other Benefits
- National and international collaborations
- Possibility of association with FAU graduate schools
Healthcare & Fitness
- Comprehensive health promotion program
About the Company
Uniklinikum Erlangen
Industry
Healthcare
Description
Das Medizinische Zentrum für Informations- und Kommunikationstechnik (MIK) betreut die IT-Anforderungen und den Betrieb der zentralen IT-Infrastruktur des Uniklinikums.
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