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Field
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appropriate, experimental apparatus Prepare and characterize materials using laboratory-based analytical techniques Analyze and interpret complex, multimodal experimental datasets Communicate research results
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computational approaches to uncover mechanisms underlying complex diseases and to develop predictive, clinically actionable models. The successful candidate will work in a highly collaborative environment with
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fertility and extensive experience with qualitative data collection, management, and analysis. This position will involve leading qualitative fieldwork in two northeastern cities. The study team anticipates
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Max Planck Institute for Human Cognitive and Brain Sciences (MPI CBS) | Leipzig, Sachsen | Germany | 3 months ago
the perirhinal cortex supports complex object, concept, and associative representations across different cognitive domains, including memory, perception, semantic cognition, concept learning, and familiarity-based
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electrophysiological complexity of the human gastrointestinal tract in order to investigate intestinal infectious diseases and host–pathogen interactions. Within this framework, the NCM (Nanobiointerfaces and Conductive
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scope of a research project. • To coordinate and perform a variety of independent and team activities involved in the collection, analysis, documentation and some interpretation of information
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or other elements from complex matrices, including the development and validation of new column procedures. Experience extracting and cleaning biogenic silica (diatom frustules, sponge spicules, radiolaria
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extraction and gene expression analysis (RT-qPCR). Experience in complex data handling and statistical analysis. A publication record in international peer-reviewed journals relative to career stage. Excellent
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commercial spectroscopic sensor and gathering relevant fermentation data. The computational component involves signal processing and data analysis. As this project involves a different sensor technology than
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ability to work independently and within a team setting as well as an enthusiasm and self-motivation within the research setting. Applicant should be proficient with complex flow cytometry analysis, in