The chart shows the evolution of the average number of times documents published in a journal in the past two, three and four years have been cited in the current year.
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- Star Trek: Identity Crisis (Star Trek: Corp of Engineers, Book 52);
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Evolution of the total number of citations and journal's self-citations received by a journal's published documents during the three previous years. Journal Self-citation is defined as the number of citation from a journal citing article to articles published by the same journal. Evolution of the number of total citation per document and external citation per document i. International Collaboration accounts for the articles that have been produced by researchers from several countries.
The chart shows the ratio of a journal's documents signed by researchers from more than one country; that is including more than one country address. Not every article in a journal is considered primary research and therefore "citable", this chart shows the ratio of a journal's articles including substantial research research articles, conference papers and reviews in three year windows vs. Ratio of a journal's items, grouped in three years windows, that have been cited at least once vs.
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The purpose is to have a forum in which general doubts about the processes of publication in the journal, experiences and other issues derived from the publication of papers are resolved. For topics on particular articles, maintain the dialogue through the usual channels with your editor. Year SJR 0. Our ideal candidate would have strong experience in developing novel machine learning techniques and applying them to solve real-world problems.
The selected candidate will be part of the sport analytics research team, and will be in charge of the development of novel descriptive and predictive models for sport games data. As a Computer Vision researcher, you will be a part of our highly talented research team, building our next generation advanced sport analytics platform.
This is a once-in-a-lifetime opportunity to help shape the future of sport analysis, coaching and media storytelling. What you'll do: Our ideal candidate would have strong experience in developing novel computer vision and machine learning techniques and applying them to solve real-world problems. The selected candidate will be part of the computer vision and video analysis team, and will be in charge of the development of novel methods for solving computer vision problems.
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As a Data Scientist, you will be a part of our highly talented research team, building our next generation advanced sport analytics platform. The selected candidate will be part of the sport analytics research team and will oversee the development of novel descriptive and predictive models for sport games data. The successful candidate is expected to conduct fundamental research in the mathematical, statistical and computational foundations of machine learning.
Primary appointments will be in the academic Department most appropriate for the candidate within the Whiting School of Engineering — e. Machine Learning Engineer Grail Inc. The ideal candidate will have some background or experience in biology or biological data analysis, but this is not a requirement. We are also seeking highly motivated and talented candidates interested in applying their skills to a new domain in a cross-disciplinary environment.
You Will: Do modeling and analysis of large, complex genomics datasets using advanced statistical methods to generate predictions and biological insights.
Perform end-to-end analysis that include design, data gathering, processing, analysis, iteration with stakeholders, and presentation of results. Interact cross-functionally with other teams including software, clinical, operations, research, product development, and external collaborators. Your Background Should Include: B.
S, or Ph. Proficiency with one or more programming languages. Strong understanding of and practical experience with machine learning classification algorithms. Experience building production machine learning systems. Demonstrated ability to write high-quality, production-ready code using machine learning frameworks like TensorFlow, PyTorch etc.
Proficiency in Linux environment and experience with version control practices and tools. Machine Learning Engineer Prodo. AI We teach machines to write code for humans. That involves training generative models to automate various software development tasks, typically representing source code as graphs before feeding them into deep neural nets, while borrowing NLP techniques to deal with the human language in code. Strong ML engineering background required.
No pressure to publish. Every detail counts as we work to deliver a safe, reliable, and cost-effective autonomous driving platform to the public. As part of the team, you will play a critical role in developing and deploying state-of-the art vehicle technology. You will have every opportunity to grow and develop as our company grows.
Join us on this exciting journey as we bring the latest breakthroughs in artificial intelligence to the future of transportation.
ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 9
As a Senior Deep Learning Engineer you will be responsible for developing machine learning solutions to real world problems. You will work closely with the perception and planning teams to develop evaluation tools for autonomous driving.
We take a principled approach to solve complex technical problems in areas such as computer vision, machine learning and robotics. As a research scientist, you will collaborate with our current team and top academic institutions to work on deep learning, computer vision, and autonomous driving. You will also engage with the international research community by publishing research papers and attending academic conferences. Please join us If you are passionate about inventing the AI for autonomous driving, have good programming skills, and have publications at top conferences or journals in the field of computer vision, machine learning, robotics.
As a Senior Software Engineer in Machine learning pipeline, you will be responsible for developing training, inference and evaluation pipeline for machine learning models used on the self-driving car. You will work with large-scale labeled data and will work with deep learning model developers and researchers together to improve the overall pipeline used in our machine learning development. Machine Learning Engineer Owkin We are looking for a passionate and motivated machine learning engineers to work with our research team.
In this position, you will be responsible for the development of machine learning algorithms, internal libraries and tools as well as working with our product teams to translate these creations into production. The successful candidate must have a cross-discipline background in machine learning and software engineering, and have a passion for tackling large and challenging real-world problems in the field of medical science.
As such, the candidate must possess authorization to work legally in France. Candidates not meeting every criteria, but who can demonstrate exceptional skill in key areas, are invited to apply. The selected candidates will work on various areas of sound and speech processing, enhancement, recognition, and understanding.
Director, Business Development Digital Divide Data Digital Divide Data [DDD] is a non-profit that creates social impact by providing customized training data and labeling services for computer vision, natural language processing, smart robotics, and virtual agents. DDD is looking for an experienced business development executive to join its fast growing Machine Learning Solutions practice.
We are looking for someone who has a deep understanding of enterprise selling of technology solutions, a proven record of accomplishment of selling cross a broad geography, and uses creative approaches that can help the DDD brand flourish. This is a high visibility, strategic, sales role, with quota. It is a new business generation role. Participate actively in the solutions and offerings definition and solutions development process.
Work with the executive team to identify and develop strategic alliances, and closely support major customers. Experience in computer vision, NLP, machine learning and training data will be an advantage. Track record of significant referenceable deals closed with Fortune companies. The selected candidates will work on various areas of sound and speech recognition and understanding.
In collaboration with neuroradiologists and world experts in deep learning Mila , we apply these tools in patients with traumatic injury and neurodegenative diseases multiple sclerosis, ALS, etc. As a successful candidate, you will bring your proven expertise in Creative applications of Artificial Intelligence and Computational Creativity to the fore, drawing on your relevant doctoral qualification and strong publications record.
Your ability to undertake outstanding research as part of a collaborative team, to lead and deliver successful projects, and your ability to attract notionally and internationally competitive funding will further enhance your success here. You will also have a demonstrated track record of teaching experience in a tertiary environment including course coordination. Contact Lab Director Prof. Jon McCormack at the email address provided. You will also act as a senior technical figure within our product support organization, debugging customer issues and providing concise summaries and recommended fixes to our core engineering teams.
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