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Max Planck Institute for Evolutionary Anthropology, Leipzig | Leipzig, Sachsen | Germany | about 2 months ago
the Cluster Assist with training and supervising other researchers (e.g. doctoral candidates, MSc students) Contribute to the friendly, welcoming, and collaborative environment in our team Your profile: A PhD
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Max Planck Institute for Extraterrestrial Physics, Garching | Garching an der Alz, Bayern | Germany | about 1 month ago
(molecular dynamics, DFT, and coupled cluster methods). CAS hosts experimentalists, observers, and theoreticians who investigate together the chemical and physical evolution of the interstellar medium and star
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to the refinement of the ongoing project “Sustainable Tourism Development: Blueprint for a Green Luxury Yacht Cluster in the Tétouan Region.” The selected candidate will focus on design, spatial thinking, and applied
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methods (e.g., PCA, PLS-DA, clustering, neural networks) to enable automated, polymer-specific classification. Optimize workflows for high-throughput imaging and real-world sample variability, minimizing
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. The position aims to reinforce the laboratory’s interdisciplinary team and contribute to the refinement of the ongoing project “Sustainable Tourism Development: Blueprint for a Green Luxury Yacht Cluster in
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want to hear from you! Responsibilities and qualifications The Postdoc positions address four exciting topics. For all positions, you will collaborate closely with a group of PhD students, postdocs and
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facility project management, reporting and publishing Your qualifications and skills: You hold a PhD in Biology or equivalent. You have a strong experimental (wet-lab) and theoretical background in genetics
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astrophysics, exotic core-collapse supernovae, and machine learning methods for time series analysis. A PhD in Physics, Astronomy, or a closely related field is required. The position will entail work on a
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Employment 0.8 FTE Gross monthly salary € 4,728 - € 6,433 Required background PhD Organizational unit Faculty of Social Sciences Application deadline 24 March 2026 Apply now A driven postdoctoral
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to test and compare strategies safely, calibrate models with real data, and support scenario-based decision-making. • Building data-driven models (e.g., forecasting, clustering/segmentation, learning-based