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Automation Engineer 80-100%
- Lonza
- Rottenstrasse 6
- Teljes munkaidő
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1-3 év tapasztalat • Angol középfok • Német középfok
Főbb feladatokToday, Lonza is a global leader in life sciences operating across three continents. While we work in science, there’s no magic formula to how we do it. Our greatest scientific solution is talented people working together, devising ideas that help businesses to help people. In exchange, we let our...
Február 19. -
- Teljes munkaidő
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1-3 év tapasztalat • Angol középfok
Főbb feladatok- Driving technical project execution by managing subprojects across timing, budget, and technical scope, ensuring alignment with overall program objectives.
- Conducting manufacturing feasibility analyses (DFA/DFM) and PFMEA for new products to guarantee robust and cost-effective designs.
Február 24. -
- Teljes munkaidő
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1-3 év tapasztalat • Angol középfok
Főbb feladatok- Lead pursuit engineering activities for automotive low voltage Lithium Ion batteries, Sodium Ion batteries, and super capacitors.
- Collaborate with automotive customers to understand their requirements and provide tailored electronic solutions.
Február 24. -
- Teljes munkaidő
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1-3 év tapasztalat • Angol felsőfok
Főbb feladatokYou develop concrete recommendations for design modifications - encompassing geometry, manufacturing processes, and material selection - to maximize our product performance....
Február 20. -
- Teljes munkaidő
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1-3 év tapasztalat • Angol felsőfok • Német felsőfok
Főbb feladatok- Leading engineering projects incl. team lead for vehicle power net testing & vehicle diagnostic
- Plan, execute, document, publish & present status & results to internal & external customers
- Use tools like CANalyzer, CANoe, and data loggers to collect and analyze system data
Február 20. -
PhD - Machine Learning-based Surrogate Modeling for Computationally Efficient Multiphysics Simulation
- Bosch Gruppe
- Hibrid •
- Teljes munkaidő
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1-3 év tapasztalat • Angol középfok
Főbb feladatok- Your role will be to develop and establish the scientific foundations for a machine learning-based multiphysics framework, using surrogate models trained on validated EHL simulations.
- You will also create a novel, computationally efficient, data-driven design protocol for lubricated components.
Február 20.
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