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systems, GHG emissions, waste and/or sludge management from SMEs/SMEs.• Experience with Python for data analysis, model automation and spatial/environmental processing.• Previous experience in research
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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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will develop novel machine learning and artificial intelligence (ML/AI) methods for genomics data, especially: large-scale single-cell genomics data, high-definition spatial genomics, digital pathology
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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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Université Paris-Saclay GS Géosciences, climat, environnement et planètes | Orsay, le de France | France | about 2 months ago
sustainable exploitation. This PhD aims to conceptually model the hydrogeological functioning of natural hot springs in the Eastern Pyrenees, located at the border between Spain, Andorra, and France. The goal
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 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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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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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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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