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Postdoc Earth Abundant Metal Catalysis(m/w/x)
Description
You will drive industrial innovation by combining high-throughput experimentation with data science to develop green catalytic processes, collaborating across teams to optimize efficiency and sustainability.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •PhD in Organic Chemistry
- •Expertise in preparative organic synthesis
- •Understanding of catalytic reactions
- •Interest or experience with HTE-based experimentation
- •Enthusiasm or experience in data science
- •Motivation for chemistry and machine learning
- •Collaborative and solution-oriented work style
- •Excellent problem-solving abilities
- •Strong communication skills in English
Education
Work Experience
approx. 1 - 4 years
Tasks
- •Apply state-of-the-art optimization methodologies
- •Explore complex reaction spaces using HTE
- •Integrate advanced sampling and empirical modeling
- •Utilize machine-learning approaches for catalysis
- •Generate high-quality datasets via automation
- •Support ML models and active-learning protocols
- •Master data-visualization and programming tools
- •Apply Design of Experiments software
- •Collaborate with internal chemical development teams
- •Coordinate effectively with external partners
- •Implement innovative green-chemistry solutions
- •Enhance process robustness and cost efficiency
Tools & Technologies
Languages
English – Business Fluent
- Boehringer IngelheimFull-timeInternshipOn-siteBiberach
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Postdoc Earth Abundant Metal Catalysis(m/w/x)
The AI Job Search Engine
Description
You will drive industrial innovation by combining high-throughput experimentation with data science to develop green catalytic processes, collaborating across teams to optimize efficiency and sustainability.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •PhD in Organic Chemistry
- •Expertise in preparative organic synthesis
- •Understanding of catalytic reactions
- •Interest or experience with HTE-based experimentation
- •Enthusiasm or experience in data science
- •Motivation for chemistry and machine learning
- •Collaborative and solution-oriented work style
- •Excellent problem-solving abilities
- •Strong communication skills in English
Education
Work Experience
approx. 1 - 4 years
Tasks
- •Apply state-of-the-art optimization methodologies
- •Explore complex reaction spaces using HTE
- •Integrate advanced sampling and empirical modeling
- •Utilize machine-learning approaches for catalysis
- •Generate high-quality datasets via automation
- •Support ML models and active-learning protocols
- •Master data-visualization and programming tools
- •Apply Design of Experiments software
- •Collaborate with internal chemical development teams
- •Coordinate effectively with external partners
- •Implement innovative green-chemistry solutions
- •Enhance process robustness and cost efficiency
Tools & Technologies
Languages
English – Business Fluent
About the Company
Boehringer Ingelheim
Industry
Pharmaceuticals
Description
The company is focused on delivering lasting value to patients through innovative therapies and early clinical development.
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