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AWI - Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research | Bremerhaven, Bremen | Germany | 2 months ago
science Environmental science » Earth science Technology » Water technology Researcher Profile Recognised Researcher (R2) Application Deadline 9 Aug 2026 - 21:59 (UTC) Country Germany Type of Contract
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Max Planck Institute for Human Cognitive and Brain Sciences (MPI CBS) | Leipzig, Sachsen | Germany | 3 months ago
mechanistic framework. Core questions include: How does the perirhinal cortex represent complex conjunctions of object features? How does it support familiarity-based recognition and semantic integration
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, environmental sciences, engineering or a closely related field You are enthusiastic, curious, creative, self-driven and committed, a team player and willing to handle responsibility Excellent quantitative skills
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properties, for example, using magnetometry (SQUID, VSM), Mössbauer spectroscopy publication record, third-party funding confident manner, (project) management experience interest in research coordination and
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Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig | Leipzig, Sachsen | Germany | 3 months ago
framework. Core questions include: How does the perirhinal cortex represent complex conjunctions of object features? How does it support familiarity-based recognition and semantic integration? Are perirhinal
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fostering new collaborations Creating initiatives to support and mentor student competition teams Contributing to activities at the interface of research, design, technology, and science communication Working
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Postdoctoral Position in Computational Humanities to Research the Macroevolution of European Literat
Max Planck Institute for Empirical Aesthetics (MPIEA) | Frankfurt am Main, Hessen | Germany | 3 months agoThe Max Planck Institute for Empirical Aesthetics (MPIEA) investigates why and how people create art and how they perform, experience, and evaluate it. The Institute’s focus is on music, but we also
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, and phenotypic datasets into AI-ready resources, in collaboration with our data-management partners Develop, re-train, and fine-tune deep-learning models for predicting gene expression and transcription
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below and are open to taking on the role of technical coordinator for one of the five working groups within the scholarship programme: Technologies for climate-neutral energy production and mobility, as
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of workflows in Python to optimize throughput, reproducibility, and data management. The overarching goal is to create a standardized and scalable platform that accel-erates discovery in stem cell biology and