414 computer-programmer-"https:"-"Inserm"-"FEMTO-ST"-"https:"-"https:"-"https:" positions at Monash University
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In this project we are interested in exploring new paradigms for solving Combinatorial Optimisation problems, and generally NP-hard ones. One direction of research could consist in using approximation algorithms for deriving dual bound within a branch-and-bound algorithms. Other directions could...
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This project is technical in nature and would suit a candidate with a background and interest in web programming, health informatics or health data (or a combination thereof). One potential area of
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The project involves design, implementation and evaluation of rule-based chatbot to support students when they study information from multiple texts, e.g., reading a few articles about global warming. The bot will support students' self-regulated learning skills which were theorised to promote...
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Proceedings of CoNLL, 2018. [2] Automatic Post-Editing of Machine Translation: A Neural Programmer-Interpreter Approach Trang Vu, Gholamreza Haffari In Proceedings of EMNLP, 2018.
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My work focuses on experimental research in quantum sensing and quantum microscopy using the nitrogen-vacancy (NV) centre in diamond. In particular, we are interested in applying quantum sensing for examining and imaging the magnetic fields from exotic conducting materials (e.g. superconductors,...
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My primary areas of research activity are two fold: first, studing thermonuclear (X-ray) bursts from accreting neutron stars; and second, searches for optical counterparts of gravitational-wave events with the GOTO telescope network. Projects focussing on thermonuclear bursts will involve...
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computational while other work will involve time spent in the lab. Search for physics beyond the Standard Model in penguin decays in data from the LHCb experiment. Identify particle identification requirements
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for computational analysis. This learning analytics project will be conducted in the context of simulation-based healthcare education, and it will support the development of effective strategies to improve teamwork
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This project aims to harness big data from ubiquitous smartphone sensors to reduce the impact of road transport on the environment. Specifically, we’ll design novel data modelling and indexing techniques to exploit the data and create a next-generation, eco-friendly navigation system which will...
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The Multi-Agent Path Finding (MAPF) is a combinatorial problem in which agents must find a path from a start to a goal location without colliding with each other. The optimisation group at Monash is leading research in this area and has designed some of the most efficient methods to solve MAPF....