Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
existing meta-genomes, using up-to-date bioinformatics tools. The postdoctoral associate will explore the genes and pathways associated to carbon and iron metabolism of heterotrophic prokaryotes using
-
, and figures in English. Fluency in written and spoken scientific English. Specific Requirements Strong interdisciplinary interactions with both the biology research team and the CIML bioinformatics
-
bioimaging and bioinformatics team at IBENS, under the supervision of Auguste Genovesio. The postdoctoral researcher will have access to a workstation as well as computing servers equipped with GPUs. Where
-
metagenomics), environmental geochemistry and mineralogy, bioinformatics for DNA sequence analysis. The candidate should have a taste for team and interdisciplinary work and be familiar with the latest
-
, bioinformatics, or other relevant field - Strong computer skills and expertise in demographic modeling - Fluency in spoken and written English - Ability to work effectively in a multidisciplinary team environment
-
cytometry • Bioinformatics (R ) • Analytical reasoning ability, organization skills, team spirit • 0 to 7 years experience after PhD Additional comments Contact: anne.hosmalin@inserm.fr Duration: 12 months
-
Candidate Profile Training and Skills required (Recent) PhD in bioinformatics, statistics, or computer science with knowledge and interest in biology Track record of creativity in developing analytic
-
multiple fields, including mathematics, physics, artificial intelligence (AI), bioinformatics, and biological sciences. Researchers work closely with experimental biologists to ensure that computational
-
• Development of a comprehensive chemical standards database • Bioinformatic/chemometric metabolite ID through online resources • De novo identification and structural assignment of metabolites and natural
-
-synaptic elements Targeted genetic manipulations of the neurons studied Analytical activities Extraction and analysis of transcriptomic data (RNA-seq) from single cells Bioinformatic analyses related