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: It is advantageous to have experience in one or more of the following areas: -Machine Learning & Bayesian optimization (Python, Supervised learning, Multi-objective optimization) -Additive
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Your Job: This project uses numerical simulations to determine the relative importance of the presence of interstellar objects (ISOs) in the interstellar medium. Specifically, the various formation
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Bayesian machine learning to improve risk management for bridge portfolios. We offer a funded PhD position in an excellent research environment. The project Our infrastructure is aging, and decisions about
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. student (m/f/d) The position is part of the externally funded project EXPLORA „Perception of materials, objects and spaces through active EXPLORAtion” and is limited for the duration of three years
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-time (75 %) as a Scientific employee – Ph. D. student (m/f/d) The position is part of the externally funded project EXPLORA „Perception of materials, objects and spaces through active EXPLORAtion” and is
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Menopausal Women” with full-time employment for a duration of 3 years, starting in February 2026. Objective of the project: BrainAGE is a machine learning-based biomarker that estimates biological brain age
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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