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work with Ayan Paul at EAI and is expected to develop AI algorithms for drug discovery with a combination of public and proprietary data, develop AI algorithms for variant effect prediction with models
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learning tools for the prediction of composite manufacturing processes. You will work on development of algorithms, custom written codes, application of commercial finite element software and development
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and significant piece of information to the right point of computation (or actuation) at the correct moment in time. To address this challenge, you will focus on developing theoretical and algorithmic
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of the project. c) CFD modelling and post-processing. d) Model design and construction for experimental testing. f) Conducting Wind tunnel experiments. Where to apply Website https://sede.udc.gal/services
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research in our lab can be found at: http://www.thechenglab.org/publications.html . A candidate is expected to collaborate closely with experimental biologists and clinicians. The position offers
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and algorithmic foundations for goal-oriented, semantics-aware communication strategies that enable efficient, intelligent, and adaptive information exchange in joint communication and control. In
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and prior experience in the design and implementation of mathematical optimization algorithms. (18 points) Knowledge and prior experience with statistical prediction models. (10 points) Knowledge and
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and embedded cryptography, and quantum programming languages. The section is part of the Department of Mathematics and Computer Science, and other research sections at the department are Algorithms
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to train tomorrows leaders in earth and environmental science. For further details about the programme please see http://nercgw4plus.ac.uk/ For eligible successful applicants, the studentships comprises
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mentoring of members of our research network, as well as outreach activities, all generally related to your research topic though not exclusively. You are encouraged to visit the ESA website: https