42 linked-data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"CSIC" Postdoctoral positions at Stony Brook University
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laboratory’s research examines the mechanisms linking JAK2V617F-mutant hematopoiesis to cardiovascular disease, including thrombosis, vascular dysfunction, and cardiac disease. Our work integrates stem cell
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or projects as assigned. Special Notes: Application Materials ● curriculum vitae and personal website URL. ● research statement. ● two selected publications (links to publicly open URLs
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techniques. ● Proficiency in instrument control, data acquisition, and data analysis using tools such as LabView, Python or MATLAB. ● A record of peer-reviewed publications and demonstrated ability
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start date. Preferred Qualifications: Research experience in computer vision, NLP, geospatial data systems, or high-performance computing. Brief Description of Duties: The Postdoctoral Associate will
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and evolutionary biology or a closely related field. Experience with computational analysis. Experience in assembling and analyzing short-read data (e.g., Illumina) or long-read data (e.g., Oxford
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methodology, conduct research experiments in the field of Multimodal aerial/underwater robotics. ● Collect and analyze data, including periodical/literature search and utilizing specialized skills in
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Equation, Stochastic simulation algorithms, and approximation methods. ● Experience with single-cell or spatial transcriptomic data analysis. ● Familiarity with machine learning and deep learning
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be shown. Preferred Qualifications: ● Experience analyzing genomic and/or metagenomic data using computational methods. ● Experience developing new approaches for the analysis of biological
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interiors. This work will rely on large-scale atomistic simulations paired with machine-learning interatomic potentials. Duties: ● The postdoc will generate density functional theory reference data, use
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spectrometry-based proteomics, including data deposition and retrieval through the PRIDE (Proteomics Identifications) database, and in bioinformatic data analysis, including pathway and ontology enrichment (ORA