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interdisciplinary, and together we contribute to science and society. Your role We seek a highly motivated bioinformatician or computational biologist who is well versed in the statistical and machine learning
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programming skills in R and/or Python thoroughness, autonomy, initiative, enthusiasm, curiosity Good writing skills Good level of English Ability to communicate and work as part of a team PhD in statistical
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to relevant audiences. The successful candidate will join the YSL research team (two PhD students, one postdoctoral researcher) at the Centre for Childhood and Youth Research (CCY) within the Department
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profile PhD (awarded within the last 5 years) of high quality, ideally in machine learning (in the broad sense), complemented by a strong mathematical foundation in probability and/or statistics Research
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, research engineers), and around 140 PhD students, post-doctoral researchers and staff on fixed-term contracts. The Institute also welcomes several dozen interns and visiting scientists every year. The
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of the genomics and transcriptomics component, from DNA/RNA extraction to bioinformatics processing of the sequences and statistical analysis of the data. Finally, the person recruited will be responsible
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of the auditory pathway using multi-electrode arrays. Requirements We are looking for individuals who want to study neural coding in the context of hearing and who meet the following criteria: 1) PhD in
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, itself part of the LIGO-Virgo-KAGRA consortium, has established a recognized expertise in the theoretical modeling of ultra-dense stellar matter and the development of advanced statistical methods
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) nanoLC-MS/MS systems. - Evaluate innovative nano-chromatography systems to enhance analysis sensitivity while increasing throughput. - Optimize MS/MS data processing methods and statistical analyses
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expect a candidate with a strong background in machine learning or statistics. The candidate must also be proficient in high-level languages like Python. Familiarity with single-cell date and experience