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Berkeley Lab’s (LBNL ) Biological Systems and Engineering (BSE ) Division has an opening for a Computational Postdoctoral Fellow to join the Quantitative Modeling Group led byHéctor García Martín
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position within a Research Infrastructure? No Offer Description Apply by uploading your CV and a cover letter detailing how your skills and experience match the requirements of the role. We are seeking
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. Working with Queen's project leads and partners at the Moredun Research Institute and RAFT Solutions, they will prepare, test and document formulations for evaluation in bovine mastitis models and partner
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join a community of scientists and researchers in an effort to research modeling approaches related to neural stimulation and inhibition by laser exposure. Research will primarily focus on
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models, and efficient algorithms for large-scale genomic data analysis. This is a one-year appointment starting as early as possible, with renewal possible based on the availability of funds, availability
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the lifecycle of AI systems, from data preparation to model use, monitoring, and updating, should be aligned with human activities, organisational processes, and decision-making in industrial contexts
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area of Gaussian Process based Simultaneous Localisation and Mapping (SLAM) and recent advances in non-parametric, 3D environment modelling. We will assess the utility of these tools for map-building
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to more than one; state your preference in your motivation letter. 1. Neurodevelopmental proteomics You will map the molecular circuitry of human neurodevelopment using advanced 2D and 3D cell models together
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/knowledge: Experience in lab or synchrotron x-ray reflectometry techniques and fitting data to existing models. Interest or experience in instrumentation development. Experience in condensed matter material
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challenges. Working within a collaborative, inclusive and high-performing research environment, you will help advance process modelling, soft sensor development, process control and comminution technologies