Heidelberg University
Medical Faculty Mannheim
University Hospital Mannheim
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CKM receives DFG funding for Project "Prediktion von Therapieansprechen und Outcome beim lokal fortgeschrittenen Rektum-Karzinom mittels Radiomics und Deep Learning: eine beispielhafte Anwendung für eine allgemein verwendbare, Deep Learning basierte Prozessierungs-Pipeline für die Bild-Klassifikation" read more.
Collaborate Research Projects
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PhD/Master/Bachelor Theses or Internships
in Innovative Imaging Technologies (MRI, CT)

Institution: Computer Assisted Clinical Medicine, Heidelberg University, Germany

Start date: flexible

Profile: Candidates working with us should have a strong theoretical and experimental background in physics, computer science, mathematics, biomedical engineering, RF engineering or a related field, as well as knowledge of programming in languages such as C/C++ and MATLAB.

Working Environment: Our group is composed of more than thirty scientists from physics, electrical engineering, medicine and computer science and is working in close co-operation with the local medical departments. We are developing new imaging techniques and translate them with our clinical partners into daily practice. In particular, we are doing basic research on the development of novel MR-techniques for measuring perfusion, diffusion, BOLD + oxygenation, and sodium in the human brain or other organs like lung, liver or heart. Tasks include the implementation of novel MRI techniques at whole body MRI systems (Siemens) at different field strengths (3x 1.5 Tesla; 2x 3.0 Tesla) with transfer to a small bore animal system 9.4 T (Bruker) for mice and rats. Beside this we are developing molecular innovative imaging technologies by fusion of several imaging modalities (CT, MRI, PET) to enable image-guided, high-precision interventions using high-end CT and robotic systems (ZEEGO, Siemens). Ongoing collaborations with other researchers involve the Central Institute of Mental Health (ZI, Mannheim), the German Cancer Research Centre (DKFZ, Heidelberg), and across Europe with multiple opportunities to visit leading international laboratories and to attend taught schools.

Project Descriptions: Please find our current job offers in the descriptions below. If none of them perfectly fits your profile and/or interests, feel free to send us an unsolicited application (Initiativbewerbung). For more information on possible projects or for application please contact:

Prof. Dr. rer. nat. Lothar R. Schad
Chair in Computer Assisted Clinical Medicine
Medical Faculty Mannheim, Heidelberg University
Theodor-Kutzer-Ufer 1-3, 68167 Mannheim, Germany
Phone: +49 (0) 621 383 5121
Email: Lothar.Schad@MedMa.Uni-Heidelberg.de


Master/ Bachelor's Thesis


Contact: Dr. Frank Zöllner last modified: 13.10.2021
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