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typically follows similar to the NIH stipulated stipend guidelines for Postdoctoral Associates. For more information: https://www.bcm.edu/research/faculty-labs/hamed-jafar-nejad-lab Job Duties Designs and
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participates in the “Objectif Employeur Pro-Vélo” program. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR9002-CHABOU-009/Default.aspx Requirements Research FieldBiological sciencesEducation
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Staff - Non Union Job Category M&P - AAPS Job Profile AAPS Salaried - Statistical Analysis, Level A Job Title Bioinformatics Scientist Department Aparicio Laboratory | Department of Pathology and
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are analyzed using advanced bioinformatic and biostatistical methodologies. As a doctoral student, you will be part of a highly collaborative and multidisciplinary research group focusing on developing precision
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responsible for: To carry out statistical and bioinformatic analysis for an array of high throughput genomics and functional genomics experiments in large patient cohorts, including Hi-C, CUT&RUN, ATAC-Seq, RNA
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plus. Experience operating magnetic resonance imaging (MRI) or focalized X-ray irradiator devices will be a plus. Experience on bioinformatic analyses (WES/WGS, (sc)RNA-Seq, ChIP-Seq, ATAC-Seq
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The Faculty of Pharmacy invites applications for the position of a DOCTORAL RESEARCHER in Bioinformatics/Systems Biology The position is a fixed term position until 31 August 2030. The start date is
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interest in applying artificial intelligence to clinically relevant biomedical questions. You hold a master's degree in computer science, artificial intelligence, bioinformatics, biomedical engineering
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of a project within the laboratory’s broader research programme (https://csi.nus.edu.sg/researcher/peteryeow/) . The specific direction of the project will be shaped by their expertise and strengths
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Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V. | Dortmund, Nordrhein Westfalen | Germany | about 16 hours ago
. or Diploma in bioinformatics or a comparable qualification Extensive programming experience Practical experience in machine learning and the application of large language models Knowledge of OMICS and image