<html><head><meta http-equiv="content-type" content="text/html; charset=utf-8"></head><body style="overflow-wrap: break-word; -webkit-nbsp-mode: space; line-break: after-white-space;"><p><span style="font-size: 8pt; font-family: TimesNewRomanPSMT, serif, EmojiFont;"><span style="font-size: 12pt;">Are you a (bio-)medical student wanting to get into cardiovascular magnetic resonance imaging?</span><br><span style="font-size: 12pt;">Are you a Computer Science, Electrical Engineering, Maths or Physics student searching for a purposeful application of your machine learning, computer graphics and/or web-development skills?</span><br><span style="font-size: 12pt;">If the answer is YES for any of the above, read on! </span></span></p><span style="font-size: 12pt;"></span><p><span style="font-size: 12pt; font-family: TimesNewRomanPSMT, serif, EmojiFont;">We are very happy the Berlin University Alliance (BUA) put their trust in us, organizing a Student Research Opportunities X-Tutorial. In this student-driven research project we have the chance to collaboratively work in a multidisciplinary research project for 2 Semesters with students from all BUA-Universities, (Charité, Freie Universität, Humboldt-Universität and Technische Universität) to enable the future of non-invasive quantitative cardiovascular imaging. </span></p><span style="font-size: 12pt;"></span><p><span style="font-size: 12pt; font-family: TimesNewRomanPSMT, serif, EmojiFont;">Our goal is to develop a machine-learning-based semi-automated workflow for non-invasive quantitative tissue characterization by Cardiovascular Magnetic Resonance (CMR) for use in volunteers and cardiomyopathy patient cohorts. The Project will take place at the working group on CMR at Charité Universitätsmedizin Berlin and is aimed at advanced BSc/MSc as well as biomedical students having completed the M1 or similar (advanced BSc or MSc students). Participants will have the opportunity to choose between a technical and clinical track to gain experience in cardiac imaging, machine-learning, web-development and multi-disciplinary medical imaging research. Following a structured onboarding phase, students in the technical team will concentrate on model and web-app-development while the clinical team focusses on image analysis and clinical feedback. Both groups will be supervised by a team of multidisciplinary researchers from the working group on CMR. There will be weekly meetings on Monday afternoon (14:00-16:00 pm) with all group members to foster the multidisciplinary exchange between groups. Furthermore, we are planning additional group organized sessions on demand. All group members will gain access to the DataScience platform DataCamp for the duration of the project. In addition, we consider organizing monthly social events with the whole working group. </span></p><span style="font-size: 12pt;"></span><p><span style="font-size: 8pt; font-family: TimesNewRomanPSMT, serif, EmojiFont;"><span style="font-size: 12pt;">The project will be available as a module via the BUA-Website and the usual platforms (Ignis, Moses, etc.)</span><br><span style="font-size: 12pt;">It will be valid for 6 Credit Points per semester (12 ECTS in total) either for the free choice sector, ABV (FU) or the Promotionskolleg (Charité) upon completion. </span></span></p><span style="font-size: 12pt;"></span><p><span style="font-size: 12pt; font-family: TimesNewRomanPSMT, serif, EmojiFont;">For more information and requirements, just shoot us a message or visit </span></p><span style="font-size: 12pt;"></span><p><span style="font-size: 12pt; font-family: TimesNewRomanPSMT, serif, EmojiFont; color: rgb(70, 120, 134);"><a href="https://www.berlin-university-alliance.de/commitments/teaching-learning/sturop/tutorials/archiv/wise24-25/3D-Quanti/index.html">https://www.berlin-university-alliance.de/commitments/teaching-learning/sturop/tutorials/archiv/wise24-25/3D-Quanti/index.html</a> </span></p><span style="font-size: 12pt;"></span><p><span style="font-size: 12pt; font-family: TimesNewRomanPSMT, serif, EmojiFont;">or </span></p><span style="font-size: 12pt;"></span><p><span style="font-size: 12pt; font-family: TimesNewRomanPSMT, serif, EmojiFont; color: rgb(70, 120, 134);"><a href="https://campusnet.charite.de/metas/meldung/meldung/detail/semi_automated_quantitative_tissue_characterization_by_3d_cardiovascular_magnetic_resonance_3d_qua/">https://campusnet.charite.de/metas/meldung/meldung/detail/semi_automated_quantitative_tissue_characterization_by_3d_cardiovascular_magnetic_resonance_3d_qua/</a></span></p><span style="font-size: 12pt;"></span><p><font face="TimesNewRomanPSMT, serif, EmojiFont" size="3">All the best and see you soon! </font><br></p><p><span style="font-size: 8pt; font-family: TimesNewRomanPSMT, serif, EmojiFont;"><br></span></p><p><span style="font-size: 8pt; font-family: TimesNewRomanPSMT, serif, EmojiFont;"><br></span></p><p><span style="font-size: 8pt; font-family: TimesNewRomanPSMT, serif, EmojiFont;">Halil Noyan<br>Medical Student Charité<br>Doctoral Candidate Working Group on Cardiovascular MRI<br>Experimental and Clinical Research Center, ECRC - a joint facility of Charité and MDC Charité – Universitätsmedizin Berlin<br>Campus Charité Buch<br>Lindenberger Weg 80,13125 Berlin<br>Student Worker und Support<br>CIPOM<br><a href="https://cipom.charite.de/">https://cipom.charite.de</a><br>Charité-Universitätsmedizin Berlin <br></span></p><p><span style="font-size: 8pt; font-family: TimesNewRomanPSMT, serif, EmojiFont;"><br></span></p><p><span style="font-size: 8pt; font-family: TimesNewRomanPSMT, serif, EmojiFont;">Dr. med. Richard Hickstein<br>Computer Science Student Technische Universität Berlin<br>PostDoc-Researcher Working Group on Cardiovascular MRI<br>Experimental and Clinical Research Center, ECRC - a joint facility of Charité and MDC Charité – Universitätsmedizin Berlin<br>Campus Charité Buch<br>Lindenberger Weg 80,13125 Berlin<br><a href="mailto:richard.hickstein@charite.de">richard.hickstein@charite.de</a><br><a href="https://cmr-berlin.org/">https://cmr-berlin.org/</a> </span></p></body></html>