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Job offers

Thank you for your interest in our job offers. Please send your application documents to the contact details given in the advertisement or to: bewerbung@iccas.de. We do not currently have a suitable position for you? Of course, we are always looking for reliable employees and student assistants in the fields of computer science, medical technology, bioinformatics, mathematics, engineering, mechanical engineering or similar and are happy to accept your spontaneous applications. We will review your resume regardless of whether we currently have a position to fill that matches your profile and will get back to you at the first opportunity.

Job-offer

Employees wanted for the KliNet5G project
Relevant disciplines: (medicin-)computer science, electrical engineering, network technology or similar
 

Student and research assistants

Full-Stack Development Clinical Information System for humanitarian First Responder Units
Relevant disciplines: computer science, mathematics, engineering

Student assistant for technical creation of eLearning content of the ICCAS
Contact: Christoph Zeumer

If you are interested in working as a student or research assistant, please send your application to: bewerbung@iccas.de

Internships

Internship at the ICCAS

Web-based HSI tissue atlas – Implementation of a web-based tissue atlas for hyperspectral data
Contact: Hannes Köhler
Relevant disciplines: computer science, media informatics, medical informatics

Thank you for your interest in our theses offers. Please send your application documents to the contact details given in the advertisement or to: bewerbung@iccas.de.

Master Theses

Model-based Automation and Integration

Comprehensible artificial intelligence in the medical environment
Contact: Gregor Thürk
Relevant disciplines: Informatics, media informatics or similar

Implementation of a multitask/pretraining concept
Contact: Adrian Lindenmeyer
Relevant disciplines: Informatics, medical technology, bioinformatics, mathematics, engineering, mechanical engineering

Automatic lung detection in electrical impedance tomography
Contact: Reinhard Fuchs
Relevant disciplines: Medical technology, medical informatics or a comparable course

Filtering and Compensation of Electrical Impedance Tomography Reconstruction Artifacts
Contact: Reinhard Fuchs
Relevant disciplines: Medical technology, medical informatics or a comparable course

Photogrammetry for patient-specific electro-impedance tomography reconstruction
Contact: Reinhard Fuchs
Relevant disciplines:Medical technology, medical informatics or a comparable course

Simulation of clinical processes – simulation and evaluation of clinical and surgical processes for different scenarios
Contact: Juliane Neumann
Relevant disciplines: computer science, mathematics, engineering

Computer vision and natural language processing in minimally-invasive endoscopic navigation – Machine Learning concepts for the interpretation of surgical procedures
Contact: Richard Bieck
Relevant disciplines: computer science, mathematics, engineering

Multimodal Intraoperative Imaging

Intraoperative imaging – Development of intelligent algorithms for the automatic classification of different anatomical structures
Contact: Marianne Maktabi
Relevant disciplines: computer science, mathematics

Calculation of Pulse Parameters from RGB Video Data
Contact: Annekatrin Pfahl
Relevant disciplines: medical technology, electrical engineering

Bachelor theses

Modell-based Automation and Integration

Computer vision and natural language processing in minimally-invasive endoscopic navigation – Machine Learning concepts for the interpretation of surgical procedures
Contact: Richard Bieck
Relevant disciplines: computer science, mathematics, engineering

Multimodal Intraoperative Imaging

Intraoperative imaging – Development of intelligent algorithms for the automatic classification of different anatomical structures
Contact: Marianne Maktabi
Relevant disciplines: computer science, mathematics