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- Aufgaben: Develop innovative methods for automatic segmentation and tracking in live cell microscopy images.
- Arbeitgeber: Join the renowned Biomedical Computer Vision Group at the University of Heidelberg and DKFZ.
- Mitarbeitervorteile: Collaborate with top biomedical partners and contribute to groundbreaking research.
- Warum dieser Job: Make a real impact on understanding diseases and discovering novel therapies.
- Gewünschte Qualifikationen: Must have a Master's degree in relevant fields and experience in Image Analysis.
- Andere Informationen: Ideal for motivated candidates interested in interdisciplinary research.
Das voraussichtliche Gehalt liegt zwischen 36000 - 60000 € pro Jahr.
PhD Position in Biomedical Image Analysis
Biomedical Computer Vision Group, University of Heidelberg and DKFZ
The research group Biomedical Computer Vision (BMCV) belongs both to the University of Heidelberg and the German Cancer Research Center (DKFZ), and is located at the BioQuant Center. The group develops methods and algorithms for automatic analysis of biological and medical images, in particular, cell microscopy images and medical tomographic images. A research focus is on tracking methods, and the group achieved excellent results in recent international competitions.
Currently, the BMCV group offers a PhD position in Biomedical Image Analysis . The aim is the development of innovative methods for automatic segmentation and tracking in live cell microscopy images. Tracking is of central importance for quantifying the dynamics of cellular and viral structures with the goal to better understand diseases and to find novel therapies. The work is carried out in cooperation with biomedical partners at the Heidelberg University Hospital and the DKFZ.
Company:
University of Heidelberg
Qualifications:
Candidates must have a Masters (Diploma) degree in Computer Science, Electrical Engineering, Medical Informatics, Biomedical Engineering, Bioinformatics, Applied Mathematics, Physics, or a related discipline. We expect experience in Image Analysis as well as good mathematical and programming skills (e.g., C, C++, Java). Candidates should be highly motivated and interested in interdisciplinary research.
Educational level:
Master Degree
Tagged as: Academia, Data Mining, Germany, Master Degree, NER
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PhD position in Biomedical Image Analysis Arbeitgeber: NLP PEOPLE
Kontaktperson:
NLP PEOPLE HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: PhD position in Biomedical Image Analysis
✨Tip Number 1
Familiarize yourself with the latest advancements in biomedical image analysis. This will not only help you understand the current trends but also allow you to discuss relevant topics during your interview.
✨Tip Number 2
Engage with the research community by attending conferences or workshops related to computer vision and biomedical imaging. Networking with professionals in the field can provide valuable insights and potentially lead to collaborations.
✨Tip Number 3
Showcase any relevant projects or research you've done in image analysis, especially those involving tracking methods. Being able to discuss your hands-on experience will demonstrate your capability and passion for the subject.
✨Tip Number 4
Prepare to discuss interdisciplinary approaches in your research. Highlight how your background in computer science or engineering can contribute to solving complex problems in biomedical contexts.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: PhD position in Biomedical Image Analysis
Tipps für deine Bewerbung 🫡
Understand the Research Focus: Familiarize yourself with the specific research areas of the Biomedical Computer Vision Group. Highlight your understanding of automatic segmentation and tracking in live cell microscopy images in your application.
Tailor Your CV: Make sure your CV emphasizes your relevant qualifications, particularly your Master's degree and any experience in Image Analysis. Include programming skills in C, C++, or Java, as well as any interdisciplinary projects you've worked on.
Craft a Strong Motivation Letter: In your motivation letter, express your passion for biomedical research and your interest in the intersection of computer science and biology. Discuss why you want to work at the University of Heidelberg and how your background aligns with their goals.
Highlight Collaborative Experience: If you have experience working in interdisciplinary teams or collaborations with biomedical partners, be sure to mention this. It shows that you can effectively communicate and work with professionals from different fields.
Wie du dich auf ein Vorstellungsgespräch bei NLP PEOPLE vorbereitest
✨Showcase Your Technical Skills
Be prepared to discuss your experience with image analysis and programming languages like C, C++, or Java. Highlight specific projects where you applied these skills, especially in the context of biomedical applications.
✨Demonstrate Interdisciplinary Interest
Express your enthusiasm for interdisciplinary research. Discuss how your background in fields like computer science, biomedical engineering, or applied mathematics can contribute to innovative solutions in biomedical image analysis.
✨Familiarize Yourself with Current Research
Research the latest advancements in biomedical image analysis and tracking methods. Being knowledgeable about recent competitions and breakthroughs will show your commitment and understanding of the field.
✨Prepare Questions for the Interviewers
Think of insightful questions to ask about the research group's projects, collaborations, and future directions. This demonstrates your genuine interest in the position and helps you assess if it's the right fit for you.
