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analysis, with possible specialisations in genomic and molecular biology techniques as well as in algorithms, statistics and artificial intelligence for molecular genetics. This is based on perspective and
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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | 2 months ago
in individuals’ other life domains (e.g. partnerships, education, employment, housing) and to changes in their socio-economic context. The project will involve analysis of individual-level data from
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of a housing system for mice and the analysis of the effects of housing conditions on the immune phenotype and immune resilience. The aim of the project is to analyse the effects of an animal-friendly
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location: Geesthacht (near Hamburg) Application deadline: June 22nd , 2025 Hydrogen economy promises a source of clean energy, but it requires addressing critical issues associated with the assessment
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Max-Planck-Institut für Kohlenforschung, Mülheim an der Ruhr | M lheim an der Ruhr, Nordrhein Westfalen | Germany | 3 months ago
diffraction) and data analysis (Rietveld, structure determination from X-ray powder data) Experience in planning and conducting complex experiments Excellent English language and communication skills Proactive
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and spectroscopy Construction and optimization of single-molecule microscopy setups Development of image- and signal-processing software for single-molecule microscopy and spectroscopy data Analysis
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into account as disruptive events, and which strategies can be derived from this for a resilient system design. Your contribution to scientific analysis: Further develop existing energy system models in Python
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profile Completed university degree (Master’s) in biology, geosciences or related areas Experience in morphology, neuroanatomy, and paleontology of turtles is desired Expertise in the analysis of digital CT
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. The department focuses on the production, analysis, and simulation of functionally optimized structures from the nanometer to the micrometer scale in electrochemically active materials, as well as the development
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analysis of large data sets, statistical modeling, and knowledge of at least one programming language (e. g.: R, Python and/or Julia) are required. Experience in machine learning and image recognition