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Field
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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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bioinformatic analyses on honeybee resilience to infection. For this project, we are looking for an enthusiastic postdoc to perform bioinformatic analyses of the (development of the) immune response of bees
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York 14853, United States of America [map ] Subject Areas: Bioinformatics Genomics / Plant Computational Biology Genetics / Quantitative Appl Deadline: none Position Description: Apply Position
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models to analyze EHR data. The postdoctoral fellow, under the mentorship of Dr. Dajiang Liu (https://dajiangliu.blog ), is expected to work on at least one of these objectives. Requirements: A Ph.D. in
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will be given to candidates with research experience in cancer bioinformatics, cancer biology and/or cancer immunology; as well as cell/organoid culture, cellular/molecular biology, flow cytometry
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Appointment Term: 1-2 years Appointment Start Date: January 2026 Group or Departmental Website: https://greiciuslab.stanford.edu/ (link is external) How to Submit Application Materials: Please email application
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and cellular biology, microbial pathogenesis, host–microbiota–pathogen interactions, microbial genetics, or related disciplines. Candidates with experience in bioinformatics and omics data analysis
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(http://www.hogberglab.net/ ). You will contribute to the Dura-store project that is a part of the European Innovation Council’s Pathfinder Challenge for DNA-based digital data storage, aiming to use bio
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at CRAG (from basic science to applied research using plant experimental model systems, crops and farm animals) make extensive use of genomic technologies and large sets of genetic and genomic data (https
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Postdoctoral Positions for Computational Genomics, Cancer Genetics, and Translational Cancer Biology
, IMPREG signature) for precision immuno-oncology panels. Preferred qualifications: Ph.D. in bioinformatics, computational biology, computer science, statistics, or a related field. Strong programming skills