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candidate, with a strong background in the development of machine learning methods for bioinformatics. The project focuses on the development of new neural network architectures to perform inference
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ExperienceNone Additional Information Eligibility criteria • PhD in statistical genetics, bioinformatics, evolutionary genetics, or a related field (obtained or in progress) • Strong knowledge of statistical
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applying bioinformatics tools capable of predicting protein aggregation and co-aggregation, followed by large-scale scanning of microbial proteomes against the human proteome. The objective
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-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
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» Biological engineeringYears of Research ExperienceNone Additional Information Eligibility criteria - Applications from holders of a PhD in theoretical chemistry or bioinformatics will be given priority
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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
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ExperienceNone Additional Information Eligibility criteria The candidate should hold a PhD in microbiology, biochemistry, molecular biology, or a related field, with a strong background in bacterial physiology and
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of Research ExperienceNone Additional Information Eligibility criteria PhD in life sciences. Experience in cell and cancer biology and in vivo models of cancer. Good mastery of bioinformatic tools. Experience
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will be expected to contribute to these publications. - The recruited postdoc will be offered the possibility to contribute to the modeling and bioinformatic aspect of the project, if desired
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Additional Information Eligibility criteria A PhD in developmental biology, ecotoxicology, endocrinology, or a related field is required. Solid experience in vertebrate developmental biology, as well as a