3D MODELING SPECIALIST - MEDICAL DATA (VASCULAR FOCUS) Estado: Presentación de solicitudes
Fin del plazo de presentación de solicitudes: Jueves, 28 Noviembre, 2024
The Centro Nacional de Investigaciones Cardiovasculares Carlos III (F.S.P) (CNIC) has been conceived to develop research of excellence, competitive and of international relevance in relation to cardiovascular diseases.
The CNIC is a research center of 24,000 m2, located in Madrid, with more than 6,000 m2 for laboratories equipped with a state-of-the-art infrastructure and equipment.
CNIC leads the Project, AI POCVUS-REACT, Artificial Intelligence-assisted point of care vascular ultrasound device for personalized cardiovascular prevention.
We are seeking a skilled 3D Modeling Specialist with expertise in creating accurate and detailed 3D models from medical data.
The ideal candidate will have strong Python programming skills, and proficiency in 3D modeling software.
French language skills are a plus for communication within international teams.
This contract is funded by Mecanismo de Recuperación y Resiliencia de la Unión Europea-Next Generation, in the framework of the call "Solicitud de Proyectos de I+D de Excelencia en Inteligencia Artificial de la Secretaría de Estado de Digitalización e Inteligencia Artificial".
Functions: Develop and refine high-quality 3D models from medical imaging data, with a focus on vascular structures combining information from imaging and external tracking devices, gyroscopes and accelerometers. Integrate 3D models for real-time visualization in ad-hoc software analysis. Automate data processing workflows and model generation using Python for handling large datasets. Work with cross-disciplinary teams to support model deployment in healthcare applications, including AI integration. Mandatory Requirements: Bachelor's or Master's degree in Biomedical Engineering, Computer Science, Medical Physics, or a related field. Valuable Requirements: Experience in 3D Modeling Software.
Proficiency in tools such as MeshLab, or Amira for medical data visualization and model creation. Experience in Python Programming.
Experience in automating 3D data processing, working with libraries like PyMesh, VTK, or Mayavi for model manipulation. Knowledge and experience in Medical Data Formats (medical imaging formats like DICOM and techniques for reconstructing 3D models from 2D image data). Experience in Image Segmentation.
Experience in segmentation, registration and annotation techniques to extract anatomical structures from medical images. Knowledge and experience in Visualization.
Ability to create detailed visual representations of vascular structures. Knowledge and experience in Data Processing.
Knowledge of pre- and post-processing of imaging data, including noise reduction, filtering, and mesh generation. Knowledge of languages.
Proficiency (level C2 CEFR scales) in French and/or English is highly valued for communication with international collaborators. Experience in a clinical or research environment. Underrepresentation of gender by category, in accordance with Action S1 of the 2021-2024 Equality Plan, POSITIVE ACTION IN CALLS FOR POSTS. Interview (it will be partially conducted in English). We offer: Competitive salary (annual salary estimated: 62.216,58 + 25% variable). Consolidated Research Center of international scientific relevance. Access to an infrastructure and advanced technologies. Integration into an excellent scientific environment. Immediate incorporation "Contrato de actividades científico-técnicas" de duración indefinida, according to the article 23-bis de la Ley de la Ciencia. Selection Plan: The RESOLUTION OF THE SECRETARIAT OF STATE FOR PUBLIC FUNCTION APPROVING THE COMMON ACTION CRITERIA IN THE SELECTIVE PROCESSES establishes a selective competition system with an interview phase.
At least 3 candidates with the highest score will be interviewed.
The CNIC guarantees, within its scope of action, the principle of equal access to employment, and may not establish any direct or indirect discrimination based on grounds of origin, including racial or ethnic origin, sex, age, marital status, religion or beliefs, political opinion, sexual orientation and identity, gender expression, sexual characteristics, trade union membership, social status, language within the State and disability.
By participating in the selection process, the participant accepts that their data appear in the public resolutions of the selection process.
For more details, please refer to the original announcement on Kit Empleo: Job Posting.
#J-18808-Ljbffr