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Field
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Postdoctoral Associate Required Qualifications: (as evidenced by an attached resume) ● Ph.D. (or foreign equivalent) in marine biology, genomics, computational biology, evolutionary biology, or
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Postdoctoral Associate Required Qualifications: (as evidenced by an attached resume) ● Ph.D. (or foreign equivalent) in marine biology, genomics, computational biology, evolutionary biology, or
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, comparative genomics, machine learning, and evolutionary analysis to address fundamental questions in molecular biology and human disease. Responsibilities Develop computational pipelines for the discovery
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. The vision of the agency is to provide global leadership in agricultural discoveries through scientific excellence. ARS’s SCINet/Artificial Intelligence (AI) Center of Excellence Research Participation Program
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University of Gothenburg/Department of Biological and Environmental Science | Sweden | about 1 month ago
Researcher (R2) Application Deadline 14 Sep 2026 - 12:00 (UTC) Country Sweden Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU
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. The vision of the agency is to provide global leadership in agricultural discoveries through scientific excellence. ARS’s SCINet/Artificial Intelligence (AI) Center of Excellence Research Participation Program
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, computational, and immunological tools within an ABSL-2 laboratory environment. You will be mentored in research methodologies aligned with the USDA–ARS mission in animal health and infectious disease. You will
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experience leading computational research projects is required for the proposed research. Expertise in population or evolutionary genetics is preferred but not required. Required skills: · Experience with
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value candidates who communicate and collaborate well within a team, are self-motivated, and are enthusiastic about evolutionary neuroscience. Experience with quantitative, computational, and programming
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collaborating with the mentor, you will investigate evolutionary changes in pathogen populations, assess the role of microbes and host physiology in disease resistance and susceptibility, and evaluate non