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UN
Uniklinikum Erlangen
last mo.

PhD student(m/w/x)

Erlangen
Part-timeOn-site
AI/ML

Description

In this PhD position, you will explore the relationship between hand function and disease activity in patients with inflammatory arthritis, utilizing motion capture data and clinical information to uncover new biomechanical markers.

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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

Education

Master's degree

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

Languages

EnglishBusiness 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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