ABB AG
Internship / Master Thesis - Physics-Informed AI on Complex Thermal Processes(m/w/x)
Full-timeInternshipOn-site
Mannheim
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FRFreudenberg Technology Innovation SE & Co. KG
Master’s Thesis in the Field of “Machine Learning of Molecular Properties”(m/w/x)
Weinheim
Full-timeInternshipOn-site
AI/ML
Data Science
Nejo AI Summary
Molecular dynamics simulations of organic systems, training models for molecular property prediction. Python programming and Scikit-learn familiarity required. Collaboration with experts in data-driven chemistry.
Requirements
- Bachelor’s degree in chemistry, physics, materials science, or related field
- Strong interest in modern simulation techniques and applications of artificial intelligence
- Programming experience in Python and familiarity with machine-learning frameworks such as Scikit-learn
- Excellent command of written and spoken English
Tasks
- Conduct molecular dynamics simulations of organic systems
- Perform detailed analyses of simulation results
- Train machine-learning models to predict molecular properties
- Collaborate with experts in data-driven chemistry
- Refine methodologies for virtual screening of functional molecules
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- Scikit-learn
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Freudenberg Technology Innovation SE & Co. KG and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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FRFreudenberg Technology Innovation SE & Co. KG
Master’s Thesis in the Field of “Machine Learning of Molecular Properties”(m/w/x)
Weinheim
Full-timeInternshipOn-site
AI/ML
Data Science
Nejo AI Summary
Molecular dynamics simulations of organic systems, training models for molecular property prediction. Python programming and Scikit-learn familiarity required. Collaboration with experts in data-driven chemistry.
Requirements
- Bachelor’s degree in chemistry, physics, materials science, or related field
- Strong interest in modern simulation techniques and applications of artificial intelligence
- Programming experience in Python and familiarity with machine-learning frameworks such as Scikit-learn
- Excellent command of written and spoken English
Tasks
- Conduct molecular dynamics simulations of organic systems
- Perform detailed analyses of simulation results
- Train machine-learning models to predict molecular properties
- Collaborate with experts in data-driven chemistry
- Refine methodologies for virtual screening of functional molecules
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- Scikit-learn
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Freudenberg Technology Innovation SE & Co. KG and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
Freudenberg Technology Innovation SE & Co. KG
Industry
Other
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- ABB AG
Internship / Master Thesis - Physics-Informed AI on Complex Thermal Processes(m/w/x)
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