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-time employment for a duration of 3 years, starting in February 2026. Objective of the project: This PhD project aims to investigate neurocognitive changes and brain ageing processes in postmenopausal
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in Menopausal Women” with full-time employment for a duration of 3 years, starting in February 2026. Objective of the project: During menopause, hormonal changes may alter communication along the gut
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-time employment for a duration of 3 years, starting in February 2026. Objective of the project: This neuroimaging study aims to examine whether body-identical menopausal hormone therapy influences
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Skłodowska-Curie Actions Doctoral Network MenoBrain “Brain Health in Menopausal Women” with full-time employment for a duration of 3 years, starting in February 2026. Objective of the project: This project
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Max Planck Institute for Gravitational Physics, Potsdam-Golm | Potsdam, Brandenburg | Germany | 3 days ago
, gravitational self-force, black-hole perturbation theory, and effective-one-body theory), numerical-relativity, most notably simulations of compact objects in general relativity and alternatives, interpretation
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from any nationality and hold, or expect to hold, a Master’s degree in a related subject. You have a proved track record of academic and research excellence and are fluent in written and spoken English
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can find information on the use of cookies and the use of your data as well as objection options in our privacy policy. Functional External services
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. Bonus lectures can be picked by the students depending on their interests and project-specific requirements. Students can deepen their knowledge about selected topics (e.g. Bayesian Statistics, HMMs, AI
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. Postdoctoral placement at a top institution/with an active research group/professor (for those interested in the academic track). Placement in a leading research NGO/think-tank/multinational company (for those
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strong interest in research. A proven track record of scientific work, such as prior publications, is beneficial. We particularly value a solid theoretical foundation in 𝗺𝗮𝗰𝗵𝗶𝗻𝗲 𝗹𝗲𝗮𝗿𝗻𝗶𝗻𝗴