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(Shannon entropy, compressibility, effective complexity and logical depth). The data basis for the analyses are two-fold: first, recent connectome data, i. e. large datasets of all synaptic connections in
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, integrative biology approach that utilizes human pluripotent stem cell based model systems, high throughput functional genomic screening and big data based machine learning, bridging the scales from genetics
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or PhD) are desirable. Proven experience in managing clinical or epidemiological study data, preferably including large cohort studies with omics data. Familiarity with electronic data capture systems
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(EKFZ: https://ekfz.uni-goettingen.de) Your tasks Large-scale and in-depth characterization of optimized Channelrhodopsin variants for basic research in neuroscience and future optogenetic therapies
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University professorship (m/f/d) in 'AI in Occupational, Social and Preventive Medicine' (salary gra
. Evaluation of large datasets (big data), for example from health insurance companies or large corporations, in the context of health and prevention. Requirement profile: A relevant academic degree (e.g. in
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, image analysis, and/or biophysical measurement techniques experience in team leadership or research infrastructure management is a big plus excellent communication and team coordination skills service
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EU MSCA doctoral (PhD) position in Materials Engineering with focus on mechanistic study of high cor
English. Additional qualifications: It is advantageous to have experience in one or more of the following areas: Electron microscopy (environmental TEM and SEM) Large data image treatment Corrosion
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will have the opportunity to: Gain important insights into clinically relevant aspects of cancer development and therapy Perform state-of-the-art in vivo experiments and large-scale drug and genetic
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resolution across large genomic datasets. We focus on cancer models (osteosarcoma, breast cancer, leukemia) and on neural progenitor cells to understand how genome instability contributes to tumor initiation
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expertise from computer science and mathematics into the field of ocean sciences. The school’s interdisciplinary focus spans supercomputing, modeling, (bio)informatics, robotics, statistics, and big data