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Field
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computer vision and vision-language models Experience with ML evaluation metrics and benchmarking Proficiency in Python and deep learning frameworks (e.g., PyTorch) Interest in applied, industry
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strategies Design of user-friendly tools for the identification of unknown compounds from the spectral datasets utilizing various computer algorithms and artificial intelligence tools Participation in high
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Engineering, Biomedical Engineering, Medical Imaging, Signal Processing, Applied Physics, Computer Engineering, or a closely related discipline. Strong background in at least one of the following: ultrasound
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are nurturing an environment for high-impact research and innovation in computer and data science, digital engineering, the advanced life sciences and medicine, and other tech fields. Partnership is what sets our
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robots, robotic manipulators, or locomotion systems. Knowledge of machine learning, reinforcement learning, imitation learning, or computer vision techniques for robotics applications. Strong analytical
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clearly shows how your skills and experience meet the criteria described above. The application and all attachments must be sent electronically via Jobbnorge.no . If you are invited to an interview, you
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knowledge, skills and experience document. Informal enquiries to David Butler, email: [email protected] Use of AI in applications: We want to understand your genuine interest in the role and for
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you would like to improve on? Contact Information Melissa Mendez [email protected] Contact Email [email protected] Salary Range $67,600 – $91,826 Pay offered to the selected candidate is
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to help them reach their full potential. How to Apply Applicants wishing to apply for a vacancy should submit the following documents by email to [email protected] Please include: Vacancy reference
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, including but not limited to: i. X-ray Fluorescence (XRF) ii. X-ray Diffraction (XRD) iii. Scanning Electron Microscopy with Energy Dispersive X-ray Spectroscopy (SEM-EDX) iv. Thermogravimetric Analysis (TGA