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University of Massachusetts Medical School | Worcester, Massachusetts | United States | about 1 month ago
General Summary of the Position Postdoctoral positions in Deep-Learning Omics are available in the Zhou Lab (https://profiles.umassmed.edu/display/20062865 ). The Zhou Lab at UMass Chan Medical
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), Computational Biology (stochastic and analytical models of gene expression), Signal Processing (machine learning, image and signal processing), Biophysics, Microbiology and Single-cell Biology (flow cytometry
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Religious Devotion project (CREDO; see https://www.levyna.cz/en/about-us/research/credo-project ) is a five-year project (2024-2028) funded by the Czech Science Foundation and is based at Masaryk University
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. Working together with the PI, postdocs, and other PhDs from DIGINEQ, you will contribute to understand the role of digital interventions targeting schools, families and adolescents to promote healthy
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a researcher or postdoc. To be appointed as a senior researcher, you must have completed a didactic/pedagogic education. If you do not have the necessary education, then it is possible to complete
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projects in data-driven nutrition, such as: statistical modelling, AI, and machine learning on large epidemiological cohorts, diet and health data analysis of omics data (metabolomics, proteomics, microbiome
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) Positions Postdoc Positions Application Deadline 27 Feb 2026 - 23:59 (Europe/Bratislava) Country Slovakia Type of Contract Temporary Job Status Full-time Hours Per Week 37, 50 Offer Starting Date 27 Jan 2026
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) Positions Postdoc Positions Application Deadline 15 Apr 2026 - 23:59 (Europe/London) Country Spain Type of Contract Temporary Job Status Full-time Hours Per Week 37,5 Offer Starting Date 1 Jul 2026 Is the job
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command of written and spoken English • Experience with qualitative research methods is an asset • Good knowledge of machine learning /data mining in science • Good programming skills in at least one
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will develop novel machine learning and artificial intelligence (ML/AI) methods for genomics data, especially: large-scale single-cell genomics data, high-definition spatial genomics, digital pathology