BME DOC📚

سه موقعیت دکتری انگلیس 3 x fully funded PhD projects are available to work on RL, Bayesian Optimization and ML. All projects feature an interdisciplinary supervisory team and have an industry partner associated with them, providing opportunities for placements and follow on employment.     1 Mitigation of Reinforcement Learning Algorithms in Changing Environments • EPSRC iCASE project with BAE Systems • Generous stipend and funding for conferences/summer schools and personal development • Co-Supervised by Wei Pan (Computer Science) and Theodore Papamarkou (Mathematics) • UK/EU students only • Application deadline 10 April; more details about the project can be found here   2 Advanced Bayesian Optimization for Complex and Sustainable Biopharmaceutical Production Design • Based and funded by the ESRC funded CDT in Data Analytics & Society • Project partner is Biopharm Services • Co-supervised by Mauricio Alvarez (Computer Science) • All students eligible • Application deadline 10 April; more details about the project can be found here   3 Machine learning and data analytics for nurturing talent and performance profiling in cricket • Based and funded by the ESRC funded CDT in Data Analytics & Society • Project partner is England and Wales Cricket Board (ECB) • All students eligible • Application deadline 10 April; more details about the project can be found here   If you are interested in any of the projects, then do to not hesitate to contact me (richard.allmendinder@manchester.ac.uk) with an up-to-date CV.

موقعیت پستداک امریکا open postdoc position at MI2 lab at Mayo Clinic, Arizona (https://lnkd.in/dParrBCf). The lab is led by Dr. Imon Banerjee, PhD and Dr. Bhavik Patel, MD who are also affiliated with Ira A. Fulton Schools of Engineering, Arizona State University. The lab focuses on cutting‐edge research at the intersection of imaging science and biomedical informatics, developing and applying AI methods to large amounts of medical data for biomedical discovery, precision medicine, and precision health (early detection and prediction of future disease). The postdoctoral scholar will be working on two core research topics: (1) develop foundational AI methods for analyzing and extracting information from clinical texts and imaging; (2) develop clinical prediction models using multi-modal and longitudinal electronic medical records (EMR) . The scholar will deploy and evaluate these methods as clinical applications to transform medical care. The position offers competitive salary and benefits. Lab will support the documentation of VISA for international students. The position will start immediately. Deadline: 15th April. 2023 Requirements: Post-graduate degree (PhD or MD, completed or near completion) in computer science, engineering, biomedical data science, informatics, statistics, computational biology, or a related field, with a background or interest in imaging · Experience in machine learning and AI, particularly in Natural Language Processing · Strong record of distinguished scholarly achievement · Outstanding communication and presentation skills with fluency in spoken and written English · Established record of distinguished scholarly achievement Please send cv/inquiries to ibanerj7@asu.edu.

موقعیت دکتری کامپیوتر کانادا https://users.encs.concordia.ca/~impact/positions/?pos=2521

موقعیت پسداک سوئد Postdoc in Interactive AI for Interdisciplinary Artistic Practices at Chalmers University of Technology in Sweden. The deadline for applications is May 1st, 2023.   We are excited to share this position as a part of a new research group that I am initiating within my WASP-HS project. The focus of this Post-doctoral Fellowship is researching and understanding interactivity in the applications of Machine Learning and Artificial Intelligence in interdisciplinary art and technology practices. The position responsibilities include research and development of novel interactive systems using machine learning and artificial intelligence for artistic applications such as live performances, artwork installations, tools for artistic practices etc. The research methodologies cover exciting approaches such as research through design, soma design, and post-phenomenology. The research perspective takes a multidisciplinary position to pursue discussions in aesthetics, ethics, and societal aspects of Artificial Intelligence. The candidate is expected to work closely with the current research group members while actively engaging with the development and establishment of the new research group. We encourage candidates with a background in interdisciplinary Art and Technology topics, such as machine learning, artificial intelligence, evolutionary computation, computational creativity, co-creativity and augmented creativity with machines, embodied performance with technology, robotics, bio-art, music technology, sound synthesis, live coding, new interfaces for musical expression, musical performance, musical improvisation, virtual reality, augmented/extended reality, music-dance practices, cognitive science, cognitive and psychological computational models, human-computer interaction, soma-design, somaesthetics, etc. This postdoc position is a full-time temporary employment for three years, and the expected start date is September 1st, 2023. We are looking forward to receiving your applications. The full details of this position and the link to the application portal can be found at the official call page: https://www.chalmers.se/en/about-chalmers/work-with-us/vacancies/?rmpage=job&rmjob=11530&rmlang=UK Please feel free to contact me if you have questions, Kıvanç Tatar, tatar@chalmers.se.

موقعیت دکتری آمار و کامپیوتر لندن PhD studentship (UK home students), University College London Deadline: 28th of April, 2023, closing of business hours (5pm BST)   A fully funded PhD studentship covering home fees and a stipend of about £22K for 4 years is available from a starting date in September 2023 (please notice that this does not cover students who do not qualify as UK home students). The student will be supervised by Prof Ricardo Silva, from the Department of Statistical Science UCL and partially funded by dunnhumby. A description of the project is provided below.   The successful candidate will join the Centre for Doctoral Training (CDT) in Foundational Artificial Intelligence hosted by the Computer Science department (https://www.ucl.ac.uk/foundational-ai-cdt/foundational-artificial-intelligence-mphilphd). A unique aspect of the CDT is to give students the deep technical skills they require to be leading researchers in AI and also the skills to be a deep tech entrepreneur. As a member of the CDT, you will be expected to actively engage on cohort-based training activities designed to encourage interaction with other students on the CDT, through shared research, training and social experiences, including in AI and entrepreneurship.   How to apply: via https://www.ucl.ac.uk/foundational-ai-cdt/how-apply , mentioning in your application documents that you are interested in this particular project. Please notice that the deadline for this specific studentship is April 28th 2023, 5pm (BST).   Topic: Causality in retail data science  

یازده موقعیت دکتری کامپیوتر اروپا As part of the HYBRIDS MSCA doctoral network (funded by the European Commission and UKRI), we are offering 11 PhD positions to work on topics related to automated fact-checking and abusive language detection, as well as other related topics. Joint call: https://euraxess.ec.europa.eu/jobs/78878 Project details and to apply: https://hybridsproject.eu/jobs/ The available positions within the HYBRIDS project are the following: • DC1: Towards an automatic characterization of micro-level structures in discourse from social networks (hosted by RU, the Netherlands) • DC2: Analysis and measurement of the impact of political discourse in the citizen’s opinion (hosted by CiTIUS-USC, Spain) • DC3: Identifying the stance of argumentative opinions in the political discourse (hosted by FBK, Italy) • DC4: Analysis of political propagation campaigns in social networking platforms (hosted by UEVORA, Portugal) • DC5: Analysis of the role of disinformation to automatically identify hate speech against immigrants on multilingual social environments (hosted by FBK, Italy) • DC6: Detection of toxic bots in Twitter by analysing textual content (hosted by UNICAEN, France) • DC7: Detection of hyperpartisan political news (hosted by CiTIUS-USC, Spain) • DC8: Hybrid data generation and retrieval for the detection of online harassment (hosted by GESIS, Germany) • DC9: Claim verification for fact-checking (hosted by NEWTRAL, Spain) • DC10: Detecting harassment on social media beyond isolated messages (hosted by UDC, Spain) • DC11: Cross-lingual claim detection for fact-checking (hosted by QMUL, United Kingdom)