Dein persönlicher KI-Karriere-Agent
Intern in Machine Learning for Antibody-Antigen Complex Scoring(m/w/x)
Developing multi-modal scoring functions for antibody-antigen complexes, bridging geometric deep learning and physics. Master's student in technical field with ML and PyTorch experience required. Research initiatives toward scientific publication.
Anforderungen
- Master’s student in technical field (Bioinformatics, Computer Science, Physics, or related quantitative discipline)
- Strong foundational knowledge of machine learning (geometric and spatial representation learning focus)
- Hands-on experience with modern deep learning frameworks (PyTorch preferred)
- Familiarity with ML application in Structural Biology
- Excellent communication and collaboration skills
- Proficiency in English (strong verbal and written communication)
Aufgaben
- Develop a multi-modal scoring function
- Bridge geometric deep learning and physics-based energy approximations
- Create and implement methods to rank antibody-antigen complexes
- Collaborate with international, cross-functional teams
- Drive research initiatives toward scientific publication
- Merge computational techniques with drug discovery efforts
Ausbildung
- Laufendes Studium
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Machine Learning
- geometric and spatial representation learning
- deep learning frameworks
- PyTorch
- Structural Biology
Noch nicht perfekt?
- RocheVollzeitPraktikumnur vor OrtBasel
- Roche
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VollzeitPraktikumnur vor OrtBasel
Intern in Machine Learning for Antibody-Antigen Complex Scoring(m/w/x)
Developing multi-modal scoring functions for antibody-antigen complexes, bridging geometric deep learning and physics. Master's student in technical field with ML and PyTorch experience required. Research initiatives toward scientific publication.
Anforderungen
- Master’s student in technical field (Bioinformatics, Computer Science, Physics, or related quantitative discipline)
- Strong foundational knowledge of machine learning (geometric and spatial representation learning focus)
- Hands-on experience with modern deep learning frameworks (PyTorch preferred)
- Familiarity with ML application in Structural Biology
- Excellent communication and collaboration skills
- Proficiency in English (strong verbal and written communication)
Aufgaben
- Develop a multi-modal scoring function
- Bridge geometric deep learning and physics-based energy approximations
- Create and implement methods to rank antibody-antigen complexes
- Collaborate with international, cross-functional teams
- Drive research initiatives toward scientific publication
- Merge computational techniques with drug discovery efforts
Ausbildung
- Laufendes Studium
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Machine Learning
- geometric and spatial representation learning
- deep learning frameworks
- PyTorch
- Structural Biology
Über das Unternehmen
Roche
Branche
Pharmaceuticals
Beschreibung
The company is dedicated to advancing science and ensuring access to healthcare for everyone.
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