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release and interactions with biological systems; assessing the physicochemical properties of biologically active substances and their potential interactions with selected molecular targets; processing
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Familiarity with brain imaging analysis acquisition Knowledge of multivariate statistics and/or digital signal processing Proficiency in Python. Parallel computing processing experience is highly appreciated
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be developed in parallel: 1). Clinical Trial and 2) Research and Development Activities focused on improvement of the approach tested in clinical trial. With the SWIFT project we aim to stream R&D
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focus on developing CFD codes/modules/tools for the new electrochemical processes in the project, but you will have some latitude to study a variety of scientific topics chosen through mutual agreement
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implementation in FEniCS/FEniCSx/ABAQUS UEL,UMAT. Strong publication record in mechanics, materials, applied mathematics, or related journals. Proficiency with HPC, parallel solvers (PETSc), and version control
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systems, code generation and transformation, HPC, parallel and distributed computing, compiler infrastructures, heterogeneous systems, and autonomous system optimization. Desired expertise includes
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energised — not deterred — by problems that sit between physics, learning and the messy real world. Your experience and profile: a PhD (completed or near completion) in Machine Learning, Computer Vision
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Autism Center’s research team, the Post-Doctoral Research Fellow will contribute to ongoing projects focused on neurodevelopment, emotion regulation, clinical processes, psychophysiology, and families, and
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, usable optical systems such as laser lock circuits and laser sources, iterating quickly based on experimental results and feedback. In parallel, you will contribute to prototyping, validating, and
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applications with related expertise. Experience with sequencing approaches to study RNA turnover or with massively parallel reporter assays(MPRAs) will be beneficial. Must Have Bioinformatics experience in