Dein persönlicher KI-Karriere-Agent
PhD student(m/w/x)
Developing clinical foundation models integrating diverse data types for real-world workflows. Advanced degree in a relevant STEM field and ML enthusiasm required. International secondments, networking, and conference attendance.
Anforderungen
- Bachelor's and Master's degrees (or equivalent) with 300 ECTS credits
- Background in data science, computer science, physics, mathematics, biology, medicine, or engineering disciplines
- Enthusiasm for developing new machine learning methods for life sciences
- Excellent interdisciplinary communication skills
- Excellent written and oral command of English language
- Previous research experience in machine learning and computational biology advantageous
- Not already in possession of a doctoral degree
- Enrollment in a doctoral programme in EU Member State or Horizon Europe associated country
- Full-time and exclusive dedication to the assigned MSCA project
- Resided or carried out main activity outside Germany for 24 of last 36 months
Aufgaben
- Develop robust clinical foundation models
- Integrate structured data, free-text notes, lab results, and medical imaging
- Create multi-modal models reflecting real clinical workflows
- Pretrain models using multi-hospital datasets
- Utilize public and private clinical data sources
- Implement self-supervised learning strategies
- Link EHR entries with patient-reported outcomes
- Ensure models learn without extensive manual labelling
- Create clinically understandable prompting techniques
- Help physicians interact with models effectively
- Avoid costly fine-tuning of models
- Build trust in AI-driven medical decisions
Ausbildung
- Laufendes StudiumODER
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- machine learning
- computational biology
Benefits
Sicherer Arbeitsplatz
- 3 years initial appointment
Weiterbildungsangebote
- Outstanding training opportunities
- Workshops and conferences
Workation & Sabbatical
- International secondments
Team Events & Ausflüge
- Networking activities
Abwechslungsreiche Aufgaben
- Outstanding research opportunities
Gefällt dir diese Stelle?
BetaDein Career Agent findet täglich ähnliche Jobs für dich.
Noch nicht perfekt?
- Huawei Research Center Germany & AustriaVollzeitnur vor OrtJuniorMünchen
- Huawei Research Center Germany & Austria
PhD Student: Privacy Enhancing Technologies for LLMs and AI agents(m/w/x)
Vollzeitnur vor OrtJuniorMünchen - Huawei Research Center Germany & Austria
PhD Student - Machine Learning for Wireless Communications(m/w/x)
Vollzeitnur vor OrtKeine AngabeMünchen - Huawei Research Center Germany
PhD Student - Privacy Enhancing Technologies for LLMs and AI Agents(m/w/x)
Vollzeitnur vor OrtJuniorMünchen - Huawei Research Center Germany & Austria
PhD Student in Machine Learning for Wireless Communications(m/w/x)
Vollzeitnur vor OrtKeine AngabeMünchen
PhD student(m/w/x)
Developing clinical foundation models integrating diverse data types for real-world workflows. Advanced degree in a relevant STEM field and ML enthusiasm required. International secondments, networking, and conference attendance.
Anforderungen
- Bachelor's and Master's degrees (or equivalent) with 300 ECTS credits
- Background in data science, computer science, physics, mathematics, biology, medicine, or engineering disciplines
- Enthusiasm for developing new machine learning methods for life sciences
- Excellent interdisciplinary communication skills
- Excellent written and oral command of English language
- Previous research experience in machine learning and computational biology advantageous
- Not already in possession of a doctoral degree
- Enrollment in a doctoral programme in EU Member State or Horizon Europe associated country
- Full-time and exclusive dedication to the assigned MSCA project
- Resided or carried out main activity outside Germany for 24 of last 36 months
Aufgaben
- Develop robust clinical foundation models
- Integrate structured data, free-text notes, lab results, and medical imaging
- Create multi-modal models reflecting real clinical workflows
- Pretrain models using multi-hospital datasets
- Utilize public and private clinical data sources
- Implement self-supervised learning strategies
- Link EHR entries with patient-reported outcomes
- Ensure models learn without extensive manual labelling
- Create clinically understandable prompting techniques
- Help physicians interact with models effectively
- Avoid costly fine-tuning of models
- Build trust in AI-driven medical decisions
Ausbildung
- Laufendes StudiumODER
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- machine learning
- computational biology
Benefits
Sicherer Arbeitsplatz
- 3 years initial appointment
Weiterbildungsangebote
- Outstanding training opportunities
- Workshops and conferences
Workation & Sabbatical
- International secondments
Team Events & Ausflüge
- Networking activities
Abwechslungsreiche Aufgaben
- Outstanding research opportunities
Gefällt dir diese Stelle?
BetaDein Career Agent findet täglich ähnliche Jobs für dich.
Über das Unternehmen
Max Planck Institute of Biochemistry
Branche
Research
Beschreibung
The company is one of the world’s leading international research institutions in biochemistry, cell and structural biology, and biomedical research.
Noch nicht perfekt?
- Huawei Research Center Germany & Austria
PhD Student - Privacy Enhancing Technologies for LLMs and AI Agents(m/w/x)
Vollzeitnur vor OrtJuniorMünchen - Huawei Research Center Germany & Austria
PhD Student: Privacy Enhancing Technologies for LLMs and AI agents(m/w/x)
Vollzeitnur vor OrtJuniorMünchen - Huawei Research Center Germany & Austria
PhD Student - Machine Learning for Wireless Communications(m/w/x)
Vollzeitnur vor OrtKeine AngabeMünchen - Huawei Research Center Germany
PhD Student - Privacy Enhancing Technologies for LLMs and AI Agents(m/w/x)
Vollzeitnur vor OrtJuniorMünchen - Huawei Research Center Germany & Austria
PhD Student in Machine Learning for Wireless Communications(m/w/x)
Vollzeitnur vor OrtKeine AngabeMünchen