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Field
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: applied mathematics, mathematical physics, engineering mathematics, theoretical physics, electromagnetic theory, electromagnetic modeling, microwave and RF engineering, electromagnetics Appl Deadline: 2026
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should hold a PhD (or be close to completion) in weather and climate science, mathematics, physics, statistical science or relevant related fields. Demonstration of drive and ability to perform novel
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date of employment : 12/01/2026 Proportion of work : full time Workplace : GMGM UMR 7156 Desired level of education : PhD Experience required : no lower limit, but no more than 2 years after the PhD
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beyond. Applicants should hold a PhD (or be close to completion) in weather and climate science, mathematics, physics, statistical science or relevant related fields. Demonstration of drive and ability
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ovarian cancer prognosis, COVID-19 prediction, and childhood mental health. You will have (or be close to completing) a PhD in a quantitative discipline such as computer science, mathematics, statistics
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transcriptomics and spatial lipidomics to create quantitative models of immune-metabolic communication across tissues The project combines controlled mouse models of maternal inflammation with advanced multi-omics
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candidate with a PhD in ecology, ecotoxicology, or environmental modeling, and strong analytical and programming skills (e.g., R or Python). Experience with biodiversity metrics, ecosystem service modeling
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Max Planck Institute of Molecular Cell Biology and Genetics, Dresden | Dresden, Sachsen | Germany | 2 days ago
Biology Dresden (CSBD) are basic research institutes that pursue a mission to advance multiscale biological discovery using interdisciplinary approaches including innovative, cutting-edge mathematics
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an opportunity for renewal to perform research using artificial intelligence (AI) and machine learning (ML) with a focus on large language models (LLMs) and foundation models (FMs) relevant to electric power
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The successful candidate will hold a PhD in applied mathematics, and will have knowledge of PDE discretization methods such as finite elements, finite volumes, etc. Practical knowledge of at least one programming