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challenging, and new theoretical methods and algorithms are required. The research project aims at deriving priors for Bayesian methods from atomistic simulations and machine learning. It also offers
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time-scales: ab initio methods for the description of reaction processes, for the determination of electrochemical stabilities and for the optimisation of force fields; molecular dynamics simulations
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for this scholarship and project) a copy of electronic transcripts a CV that includes any publications/awards, experience relevant to the project and the contact details for 2 referees Potential candidates should
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PhD in Film Studies: Cinema’s Mediterranean Connections, Archives, Flows and Southern Epistemologies
’ diploma and list of grades. Copy of Masters’ thesis. If available, a copy of one article, book chapter or other academic text that you feel best represents your work. Contact details of two academic
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the wider frame of this project. A curriculum vitae. Copies of MA diploma and list of grades. Copy of MA thesis. If available, a copy of an article, book chapter or other academic text that you feel best
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of this project. A curriculum vitae Copies of MA diploma and list of grades Copy of MA thesis (If the candidate did not finish the MA by the deadline, a written statement by the supervisor is required) If available
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studying for their MA diploma, a written statement from the supervisor is required, commenting on performance, motivation, skillset, content and progress of the thesis Copy of MA thesis If available, a copy
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Kerryn Butler-Henderson via kerryn.butler-henderson@rmit.edu.au by 31 October 2022, with: A cover letter - outlining interest and alignment with the proposed research (see Further Information) A copy of
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-driven simulation with physics-inspired data and image analysis, often in close collaboration with experimental partners, to identify physical principles behind biological dynamics and self-organization
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solid background in preferably more than one of the following areas: Thermodynamic analysis and simulation of energy technologies/processes/systems Programming tools such as Python, Matlab, Modelica