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empirical basis. The goal of the PhD programme is to ensure that the doctoral student is proficient in various methods of linguistic data collection and analysis and can therefore use these methods in a
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(one-time 45-60 minutes) B. Basic Principles seminars (one-time 45-60 minutes) and respective Advanced Method courses (hands-on; one- to two-day courses) such as: Static and perfusion-based ex vivo
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the development of sensitive quantitative assays for in vitro and in vivo approaches; improved measurement techniques that ideally push resolution limits to the single molecule level; statistical methods to deal
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of transport systems spanning microscopic, mesoscopic and macroscopic levels. Of particular focus will be automated planning methods that leverage emerging data and novel metrics that embed ethics-based concepts
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of transport systems spanning microscopic, mesoscopic and macroscopic levels. Of particular focus will be automated planning methods that leverage emerging data and novel metrics that embed ethics-based concepts
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political science, sociology and economics. Synergies also emerge from sharing methods, such as statistical methods and methods for data collection. The GSBS provides coursework in the respective fields
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PhD Researcher in Theoretical or Experimental Pragmatics / Cognitive Science (m/f/d, E 13 TV-L, 65%)
robust formal and programming skills, as documented through course work or research projects. Rudimentary experience with experimental work and statistical data analysis, possibly also mathematical
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research groups during the first two years of PhD. Rotations are aimed at learning techniques, methods, experimental approaches, and theoretical background, necessary or beneficial for the PhD student and
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certification procedures, and increase planning accuracy by means of innovative measurement methods. What you will do These duties await you ... Your PhD research topic focuses on automated measurement data
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school is on the use of biological and computational methods to explain and predict phenomena in life sciences. This includes aspects of gene regulation and epigenetics, RNA biology, signal transduction