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an important entry point for data and models in the Metropolitan Region of Amsterdam. Where to apply Website https://www.academictransfer.com/en/jobs/357691/postdoc-micromacro-modelling
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–vascular interactions, and spatial transcriptomic modeling. About McGill and Montreal Montreal is one of North America’s leading centres for research and innovation, home to world-class institutions such as
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Your Job: In the CrowdING project, you will analyze experimental data from large crowds and develop quantitative measures to describe their spatial structure. To do this, you will use and expand
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University, University of British Columbia, Université du Québec à Trois-Rivières, and Yukon University, supported by the Canada First Research Excellence Fund. More information on: https://www.uvic.ca/acet
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application! Your work assignments We are looking for a PhD student to work on the development of novel spatio-temporal machine learning methods. Our world is inherently spatio-temporal, i.e. physical processes
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | about 2 months ago
programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Area of research: PHD Thesis Job description:PhD Candidate (f/m/x) - AI/ML Drug Discovery for Brain
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knowledge of German • Full endorsement of current open science practices (e.g., interest in designing and preparing one of the PhD papers for journal submission as a Registered Report, see https
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Professor rank. We welcome applicants with a PhD (or equivalent) in biostatistics, statistics, or a closely related quantitative field. We seek scholars with training in biostatistics/statistics and
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/southern Sweden and potentially other locations (> 8 hours drive from Umeå). Other meriting qualifications are: Strong quantitative skills, with experience in statistical modeling or spatial data analysis in
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. The relevant synaptic turnover and plasticity processes span spatial scales from the molecular up to the network level, and temporal scales from seconds to hours and beyond. The aim of this PhD project is to