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. This includes research on psychological assessment, psychometrics, and methods in large-scale assessments. Your tasks We are seeking an international visiting researcher to collaborate on an innovative research
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Dortmund, we invite applications for a PhD Candidate (m/f/d): Analysis of Microscopic BIOMedical Images (AMBIOM) You will be responsible for Developing new machine learning algorithms for microscopy image
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level and obtain a PhD degree within four to five years Are creative and able to come up with fresh ideas to address technical challenges Like to write code and will not be afraid of a large software
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Max Planck Institute for Neurobiology of Behavior - caesar, Bonn | Bonn, Nordrhein Westfalen | Germany | 3 months ago
, to large-scale functional imaging of brain circuitry during behavior, to the quantification of natural animal behaviors. We are looking for a PhD student (m/f/d) to work on a joint project between the Neural
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systems or the use of non-renewable raw materials in the global south. Large international networks provide support in working on these topics of high global relevance with the relevant partners from
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the objectives more precise; working on the individual PhD study project with its focus on the methodological contributions as well as on empirical data processing for the case study analysis in collaboration with
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the understanding of large-scale irrigation-atmosphere interactions. You will use state-of-the-art global satellite remote-sensing data to analyse the impact of irrigation on cloud and rain formation. This will
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scene and a diverse cultural life. Starting from 1 October 2025, our team offers a PhD Position (m/f/d) in Phenology and Pollen Forecasting using Citizen Science Data. The position is limited to 3 years
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Degree PhD (Dr-Ing or Dr rer nat) Doctoral degree or degree awarded by Ruhr University Bochum or University Duisburg-Essen Course location Düsseldorf In cooperation with Max-Planck-Institut für
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Your Job: As part of an interdisciplinary team, you will develop approaches for the automated and large-scale provision and integration of energy systems data and models and apply data science