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analysis of biomedical data and bioscientific programming for a project on the study of neurological disorders. The candidate should have experience in the analysis of large-scale biomedical data (e.g
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for integration into diagnostic tools Preparing manuscripts for submission to both medical and machine learning journals Qualifications Candidate profile: Required: PhD in mathematics, statistics, data science
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supervised by Prof. Dr. Jun Pang. For further information or inquiries, please contact Prof. Dr. Jun Pang directly. Your profile PhD in Computer Science or a related discipline, coupled with outstanding
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advanced statistical analysis Expertise in youth research is an asset Proficiency in data processing and analysis software (e.g. R, Stata, Python, SPSS) Proficient in at least two of the following languages
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live in. Your role Research in one or more of the following topics: complex analysis, real analysis, functional equations Teaching activity (up to 90 hours/year), tutoring of students, possible
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analysis and modelling Where to apply Website https://www.aplitrak.com/?adid=VUdBLjY2NzYzLjk5MDhAdWdhLmFwbGl0cmFrLmNvbQ Requirements Additional Information Work Location(s) Number of offers available1Company
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information, please contact Prof. Alexander Skupin (email address: ). Your profile PhD in molecular biology, systems biomedicine or related fields Demonstrated expertise in iPSC biology Background in PD is an
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is seeking a Postdoctoral Researcher to help pioneer new approaches to data-driven media history across languages and modalities. Leveraging an unprecedented corpus of newspaper and radio archives
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methods for single-cell data analysis (tools developed by the team : https://github.com/cantinilab ). Single-cell high-throughput sequencing, extracting huge amounts molecular data from a cell, is creating
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the laboratory: –Lefebvre A. et al. Neuroanatomical Diversity of Corpus Callosum and Brain Volume in Autism: Meta-analysis, Analysis of the Autism Brain Imaging Data Exchange Project, and Simulation. Biol