Aktuelle Jobs im Zusammenhang mit Graduate Thesis: Exploring Contactless Methods for Respiratory Analysis - Duisburg, Nordrhein-Westfalen - Fraunhofer-Gesellschaft


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    If you are exploring a new career path in the healthcare sector, EMC Adam GmbH presents an exceptional opportunity for a Chief Physician (m/f/d) specializing in Obstetrics and Gynecology to become part of a progressive medical facility located in North Rhine-Westphalia.About the OrganizationEquipped with cutting-edge medical technology for superior diagnosis...


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    If you are exploring a new career path in the healthcare sector, EMC Adam GmbH presents an exceptional opportunity for a Chief Physician (m/f/d) specializing in Obstetrics and Gynecology to become part of a progressive medical facility located in North Rhine-Westphalia.About the OrganizationEquipped with cutting-edge medical technology for superior diagnosis...


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    If you are exploring a new role in the healthcare sector, EMC Adam GmbH presents an exceptional opportunity for a Chief Physician (m/f/d) specializing in Obstetrics and Gynecology to become part of a progressive medical facility located in North Rhine-Westphalia.About the OrganizationEquipped with cutting-edge medical technology for superior diagnosis and...

Graduate Thesis: Exploring Contactless Methods for Respiratory Analysis

vor 3 Monaten


Duisburg, Nordrhein-Westfalen, Deutschland Fraunhofer-Gesellschaft Vollzeit
Join the Fraunhofer-Gesellschaft Team

Are you eager to engage in pioneering research within the realm of medical diagnostics? We present an intriguing opportunity for you to undertake a Master's thesis project addressing significant challenges in this field.

Key Responsibilities:
⦁ Develop and evaluate algorithms aimed at minimizing motion artifacts that may affect measurement precision
⦁ Design, implement, and assess a real-time demonstration system to illustrate the practical use of advanced diagnostic technologies
⦁ Enhance existing techniques for classifying respiratory conditions to improve diagnostic reliability

This varied array of subjects enables you to delve into both technical dimensions and practical clinical applications, contributing meaningfully to the progress of medical diagnostics.

Qualifications We Seek:

⦁ Degree in Electrical Engineering, Computer Science, Biomedical Engineering, or a related discipline
⦁ Strong academic credentials
⦁ Proficiency in programming languages such as C++ or Python
⦁ Familiarity with image and signal processing is advantageous
⦁ Interest in Artificial Intelligence and Machine Learning methodologies
⦁ Ability to work independently and reliably, complemented by strong communication and teamwork skills

What You Can Anticipate:

As a prominent entity in the advancement of innovative technologies and the translation of research findings into practical applications, Fraunhofer-Gesellschaft offers you the chance to be part of a team that influences the future of society and technology.

We are committed to fostering diversity among our workforce, encouraging applications from individuals of all backgrounds. Whether you are an experienced professional or a recent graduate with a passion for innovation, we welcome your interest.

The position entails a commitment of 39 hours per week.