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O Offered salary: will depend on candidate’s skills and experience. Strong interpersonal, communication and presentation skills as well as ability to work in global team and organize work.Strong fundamental knowledge of statistical data processing, regression techniques, neural networks, decision trees, clustering, pattern recognition, probability theory, stochastic systems, Bayesian inference, statistical techniques and dimensionality reduction.In-depth technical knowledge of AI, deep learning and computer vision.Solid experience with opensource technologies to accelerate innovation.Author on related research publication / conferences.Extraction of multimodal feature extraction.Experience desired in Semi-Supervised Learning, Self-supervised Learning, Reinforcement Learning, Adversarial methods.Pytorch) and standard packages such as Scikit-learn, Numpy, Scipy, Pandas Relevant experience with Python, DL frameworks (i.e.Experience with Medical Imaging (MRI required, CT is an asset), image signatures, large scale visual information extraction, features selection.Minimum 3 years of relevant work experience in (deep) machine learning.These AI enabled systems and services go beyond image analysis to transform medical practice and drug development.Įducation: PhD in in Mathematics, Computer Science or related fields We expect you to build breakthrough AI-enabled imaging solutions relying on cloud computing applying supervised and unsupervised Machine Learning techniques to create value from the imaging and clinical data databases generated by our medical research and pharmaceutical industry partners. You will be expected to author peer reviewed papers, present results at industry/scientific conferences. You will generate intellectual property for the company. In addition, you will transfer technology, and share insights and best practices across innovation teams.
#Portes ouvertes henri pointcarré 2018 software
You will work in collaboration with iBiopsy’s software development team as well as clinical science team. Your work will involve research and development of innovative machine learning algorithms> Being part of our front-end innovation organization, you will actively scout, keep track of, evaluate, and leverage disruptive technologies, as well as the emergence of new industrial, academic, and technological trends. You will apply your AI/ML/Deep Learning knowledge to develop innovative and robust biomarkers using data coming from medical imaging systems such as MRI and CT scanners and any other relevant data sources. Position under the supervision of Artificial Intelligence and Data Science Director Presentation of activities and main tasks linked to the job We are looking for an enthusiastic, dynamic, and organized Data Scientist with strong ML experience, excellent communication skills who will thrive at the heart of technological innovation. Medical imaging is one of the fastest growing fields in machine learning. Integrated into a multidisciplinary research and development team within the iBiopsy® project, you are a scientist in the research and development of innovative medical imaging solutions using machine learning and other AI methods. In the context of our research and development in artificial intelligence applied to medical imaging, we are looking for: Research Scientist (Ph.D.) "Data Science and Deep Learning applied to MRI", M / F Our company is growing in a fulfilling international and multicultural environment. Today, we are a team of 170+ people spread worldwide in the US, Europe and China. Always remembering to put the patient first.Supporting our customers in achieving their goals.These values define who we are, what we do, the way we do it, and what we, as Median, aspire to**: We are driven by our core values** that are essential to us. The company employs a highly-qualified team and leverages its scientific, technical, medical, and regulatory expertise to develop innovative medical imaging analysis software based on Artificial Intelligence, cloud computing and big data. Our software solutions improve the management of cancer patients by helping to better identify pathologies, develop and select patient-specific therapies (precision medicine). Our core activity is to develop advanced imaging software solutions and platforms for clinical drug development in oncology, diagnostic support, and cancer patient care. Since 2002, Median Technologies has been expanding the boundaries of the identification, interpretation, analysis and reporting of imaging data in the medical world.