Your Profile - Qualifications • Bachelor’s/Master’s/PhD in Computer Science, Applied Mathematics, Engineering, or related field. • Strong background in machine learning, deep learning. • Proven experience with 3D graphics, computational geometry (meshes, point clouds, surface reconstruction) or computer vision • Proficiency in Python, C++, and ML frameworks (TensorFlow, PyTorch). • Experience with medical imaging data (CT, CBCT, intraoral scans) is a plus. • Full professional proficiency in English is required Preferred Skills • Familiarity with GANs, diffusion models, or neural rendering for material reconstruction. • Familiarity with biomedical applications. • Strong problem-solving skills and ability to work in interdisciplinary teams. • Excellent communication and documentation abilities. • Large language modules (plus) What We Offer • Opportunity to work on cutting-edge applications in digital dentistry and orthodontics. • Collaborative environment with experts in ML, graphics, and healthcare. • Competitive salary and benefits package. • Career growth in a rapidly evolving field.
50Hertz Transmission GmbH sucht in eine/n System Engineer Compute & Storage (w/m/d) (ID-Nummer: 13752217)
COMLINE Computer + Softwarelösungen SE sucht in eine/n Project Engineer (IT Support / Fachinformatiker) (m/w/d) (ID-Nummer: 13702194)
. • Leverage knowledge of Engineer to Order (ETO) and other Product Lifecycle Management (PLM) solutions to ensure seamless E2E process integration. • Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field. • Long years of experience as an SAP Consultant, with a focus on S/4 HANA, SAP PP, QM, Serialization, and Batch Management. • Proven experience in SAP project roll-out implementations. • Strong analytical and problem-solving skills, with the ability to think critically and strategically. • Excellent communication and interpersonal skills, with the ability to work collaboratively across teams. • Experience with Serialization and Batch Management in an S/4 HANA environment is highly desirable. • Knowledge of Engineer to Order (ETO) processes and other PLM solutions is a significant advantage. ##5,472000004