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multidisciplinary approach that integrates genomics, transcriptomics, proteomics, molecular biology, and synthetic biology. Key Responsibilities Analyze and interpret multi-omics data to identify stress adaptation
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, functional genomics, therapeutic target development, and cancer proteomics. Submit a full-length CV, a 3-page future research plan, and the names and contact for 3-5 references Required Qualifications: Ph.D
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signalling and disease progression. The goal of the Oncode Accelerator Growth Fund project is to accelerate the development of new cancer therapies. In this PhD project, you will employ existing proteomic
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University More Jobs from This Employer https://main.hercjobs.org/jobs/21881185/director-mass-spectrometry-and-proteomics-research-core Return to Search Results
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holistic, quantitative proteomic and transcriptomic data generation with brain tissues. Find the job description here: https://acrobat.adobe.com/id/urn:aaid:sc:VA6C2:e8f3d56f-b8a7-403b-b6ae-8660621f40a4 Job
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clinical research on pharmacology, toxicology, and exposure science. Dr. Bernstein’s research team has access to outstanding facilities of Genomics, Genetics, Proteomics, Confocal and high-content imaging
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biochemistry to uncover molecular mechanisms of disease and accelerate therapeutic discovery. Position overview We are seeking a Bioinformatician with expertise in genomics and proteomics data analysis to join
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-ISCIII (PI24/00173)", with the destination being the Foundation for Health Training and Research of the Region of Murcia. Where to apply Website https://rrhh.ffis.es/rrhh/ofertaEmpleo.jsf?id=1944
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Leibniz-Institute for Food Systems Biology at the Technical University of Munich | Freising, Bayern | Germany | 13 days ago
interactions between the human organism and food components. To strengthen our research group Transcriptome & Proteome Profiling / Section I, we are currently looking for a committed Master’s Student of
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candidate will be encouraged to independently explore large-scale omics datasets (e.g., bulk and single-cell RNA-seq, spatial transcriptomics, proteomics) to identify and prioritize novel biomarker