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Field
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Association and has been investigating the “Earth System” worldwide for more than 200 years, examining the past, analysing the present, and developing projections for the future. We conduct integrative
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conducive to scientific qualification and provides the opportunity for further academic development. Where to apply Website https://uni-bielefeld.hr4you.org/job/view/4748/research-position-phd-student-m
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the modules that are offered and specific regulations can be found in the catalogue of courses. http://www.uni-goettingen.de/en/670315.html Modules can be composed of various forms of teaching: lectures
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Environment, SLICE will therefore develop a research and training programme that bridges the current divide between space engineering and climate science to close the gaps that exist in the Life-Cycle Analysis
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), the sorption of PFAS and heavy metals onto natural nanoparticles will be investigated in situ using a dedicated field exposure method developed by our team, complemented by laboratory experiments and machine
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systems. Key Responsibilities Develop graph-based (multi-)omics analysis algorithms Benchmark graph-theoretic against graph-ML approaches Analysis of food-related (multi-)omics data Your Profile The ideal
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mentorship in the career development of the student. The program language is English. We offer: a highly international research environment and state-of-the-art technology four years of full funding through
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Brandenburg University of Technology Cottbus-Senftenberg • | Cottbus, Brandenburg | Germany | about 8 hours ago
environment is provided to prepare students for the doctoral process and post-doctoral professional development through a compulsory curriculum of 30 ECTS. Doctoral students receive high quality supervision
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chemical evolution in the magma reservoir. The geochemical composition, isotopic tracers and the physical properties of the magmas are examined analytically and experimentally. They make it possible
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Your Job: This PhD project bridges between classical analytical methods and modern AI based techniques to analyse spike train recordings to advance our understanding of neural population coding