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Job Description Would you like to become part of the solution toward green energy transition, by helping develop the methods for modeling future power and energy systems? The Renewable Plants in
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! RESPONSIBILITIES: You will elucidate the molecular mechanisms driving the development of distinct malignant lymphoma subtypes and contribute to the identification of predictive biomarkers and novel therapeutic
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Job Code: 9521 - Research Assistant and 9529 - PhD Candidate Research Assistant Employee Class: Grad/Prof Student Position This position will provide support for lesson plan development relating
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, and space hardware. This PhD research aims to develop a comprehensive Mode Selection Framework for Reduced Order Modelling (ROM) in Structural Dynamics—using machine learning to build robust
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are seeking a highly motivated PhD candidate to develop efficient on-device generative AI systems based on large language models (LLMs). The project focuses on creating compact, low-latency, and energy
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) their undergraduate degree in physics, engineering or chemistry (preferably with first class honours or equivalent) and we expect the PhD candidate to develop the expertise required to lead an experimental research
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and Northeastern University, USA. Responsibilities The PhD project involves developing a flexible vegetation model within the OpenFOAM platform, where vegetation stems are represented as nonlinear
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expertise in force field development, weighted ensemble rare-event sampling, and scientific software development. The researcher will be the lead developer of the WESTPA software for weighted ensemble
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of nanoparticles for healthcare and industrial applications. As a PhD candidate, you will: Develop and refine SAXS and FCCS methods to quantify size, concentration, density and internal structure of diverse
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that rotations play in gas-surface collisions. Working within a well-supported and experienced research group, the student will join and further develop a unique Magnetic Molecular Interferometer (MMI) apparatus