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. You enjoy combining experimental laboratory work with theoretical analysis and modelling. While your main focus will be the research project and your own development as a researcher, the position also
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of the project is to 1) develop computational pipelines for image analysis and physical analysis of cell shape trajectories, and for combined morpho-molecular analysis of cell shape together with molecular markers
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Do you want to work with healthcare data and develop your data science skills? Do you want to make a difference in healthcare by understanding the reasons why an implant fails or succeeds? Around 1
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As part of the Restoration Ecology And Dynamics (READY) Doctoral Focal Award, we invite applications to the following PhD project: Harnessing ecosystem resilience to inform woodland restoration
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the bone marrow niche during regeneration. A primary focus of the laboratory is the role that Notch signaling plays in the differentiation and cell fate decisions of hematopoietic cells. This position
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of findings. What you can expect to gain during this role: Experience of working on a research project. Experience of data design and analysis. Experience of contributing to an academic publication. About You
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predictive accuracy. As part of the project, the successful candidate will receive training in advanced experimental techniques and data analysis, collaborate with world-leading experts in materials science
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neurons in the brain gives rise to the plethora of animal behaviors. Our research spans a large range of scales from the nano-scale imaging of brain circuitry, to large-scale functional imaging of brain
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Max Planck Institute for Neurobiology of Behavior - caesar, Bonn | Bonn, Nordrhein Westfalen | Germany | 2 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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. The start date is October 2025. Are you passionate about applying computational science to real-world engineering problems? Do you want to develop digital twins of materials that can predict performance and