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, or similar disciplines Graduate students expecting to receive their PhD within six months can also apply Experience in the advanced analysis of genetic or proteomic data Interest in learning methods
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Max Planck Institute for Chemical Physics of Solids, Dresden | Dresden, Sachsen | Germany | 2 months ago
Analysis of experimental results Expertise in spectroscopic measurements and/or Scanning Probe Microscopy is of advantage Qualifications and skills University degree and PhD in physics Ability to work in a
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07.12.2022, Wissenschaftliches Personal The institute for communications engineering offers a position for a doctoral or young postdoctoral candidate with the topic “Communication and coding in
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Boltzmann Methods. Candidates should have an interest in applied mathematics, programming experience, and a passion for a practice-oriented project involving real data and applications. Specific tasks within
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physics Comprehensive background in experimental low temperature physics Characterization of materials with respect to transport, thermodynamic and magnetic properties Analysis of experimental results
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perception experiments for prosodic analysis. For the advertised postdoctoral researcher position, this work involves conducting experiments on the morphosyntax of reprise questions and reprise fragments in a
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modelling framework integrating model and systemic outputs #develop drought resilience archetypes by analyzing diverse cases based on land use, socio-ecological systems, and trajectories of land and climate
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Max Planck Institute for Chemical Physics of Solids, Dresden | Dresden, Sachsen | Germany | 2 months ago
, semimetals, superconductors) Carrying out photoemission experiments in synchrotron beamlines Maintenance of the in-house ARPES system Analysis and summarizing experimental results Presentation of experimental
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genomics, virtual cell models Graph-based neural networks, optimal transport Biomedical imaging, deep learning, virtual reality, AI-driven image analysis Agentic systems, large language models Generative AI
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`liquid-liquid phase separation' (LLPS). We will use programmable, multi-component model systems of biomolecular phase separation to investigate the transport of biomolecular information, stress, and light