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Data Protection Regulation (GDPR)). By submitting your application, you confirm that you have acknowledged the above data protection information of TUM. Kontakt: Chair for Numerical Analysis, Prof. Dr
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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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developing computer-vision systems for faunistic data analysis Present project goals and achievements in national and international scientific conferences Supervise technicians and students in training data
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of statistical analysis of genetic, proteomic data and their links to neuropsychological phenotypes Interpretation and interdisciplinary discussion of research results Design and implementation of own research
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fields Interest in immunology, systems biology and translational research Strong interest in mass spectrometry-based proteomics (prior experience advantageous) Proficiency in computational data analysis
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research studies for automated image analysis. In particular, you will: Plan, develop, and implement AI/ML algorithms for pathology image analysis. Integrate multi-modal data (e.g., genomics, clinical data
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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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, signal processing, and data mining A strong background in programming, statistical analysis, and spatial modelling and mapping Highly motivated to work on the subject and eager to work in an
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PostDoc in "Sustaining the keystone: Rethinking Antarctic krill fishery management under climate ...
CCAMLR. CCAMLR aims to manage this fishery sustainably, relying on ecosystem-based approaches incorporating data on predator population, ecosystem state, and krill biomass and distribution. The krill
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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