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We are looking for a highly motivated Assistant Controller to join our finance department. In this role, you will be actively involved in both ongoing accounting tasks and cross department projects, contributing to the financial operations of a global industrial company. Description:
* Support the preparation of quarterly and annual financial statements in accordance with IFRS.
* Assist in preparing monthly management reports for internal stakeholders.
* Participate in tax reporting processes and handle tasks required by tax authorities.
* Take part in bookkeeping activities and ensure proper controls over daily operations.

We are looking for a talented Mechanical Engineer to join the R&D Incubation team on a temporary basis. In this role, you will contribute to the early-stage design and development of innovative cardiovascular technologies in the TAVI (Transcatheter Aortic Valve Implantation) space. You will be responsible for concept development, laboratory testing, and collaboration with internal stakeholders and external manufacturing partners.
How you will make an impact:
Develop and iterate early-stage mechanical concepts and prototypes for transcatheter cardiovascular devices
Plan, execute, analyze, and report bench testing
Create and maintain 3D models, engineering drawings, and technical documentation using SolidWorks
Coordinate with external vendors and contract manufacturers on component fabrication and delivery
Collaborate closely with the THV Incubation Manager and cross-site engineering teams (Israel & Irvine)
Support design reviews, project milestones, and technical documentation as required.

We are seeking a motivated MSc student to join our R&D team as a Machine Learning Engineer focusing on medical image processing (CT, MRI). In this role, you will support the development and optimization of deep learning models for image segmentation and analysis, leveraging U-Net and 3D U-Net architectures.
This is a hands-on opportunity to work on real-world clinical data and contribute to next-generation solutions for diagnostic and procedural planning workflows.
How you will make an impact:
Model Development:
Assist in designing and implementing deep learning models for medical image segmentation using U-Net, 3D U-Net, and nnU-Net frameworks.
Support optimization of models for volumetric CT/MRI datasets.
Data Handling & Processing:
Develop preprocessing pipelines (normalization, augmentation, resampling).
Integration & Experimentation:
Support integration of models into research pipelines using tools like MONAI and 3D Slicer.
Run experiments, evaluate model performance, and document results.
Collaboration:
Work closely with engineers, data scientists, and clinical teams.
Participate in technical discussions and contribute ideas for improving model performance.
Research & Innovation:
Stay updated on state-of-the-art methods in medical imaging AI and segmentation.
Explore improvements in model architecture and training strategies.