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Field
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, benefits include generous holiday allowance, access to advanced research software/clusters, structured career development mentoring, and discounted facilities. We welcome applications from both external and
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. Preferred Experience with GWAS, biobanks, or population-scale genetics. Experience with single-cell, spatial transcriptomics, or functional genomics. Experience developing research software for large-scale
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. Ability to effectively utilize a computer and applicable software to create databases, perform statistical analyses, present data, and perform other computer related tasks. Ability to multitask and work
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. The successful applicant is expected to have expertise in atomistic or micromagnetic simulation methods. Experience in both software development and the application of these methods is important and will be taken
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part of a team / network. Use job-specific software. Specific Requirements PREREQUISITES Ph.D. in Biochemistry and/or cellular biology and/or pathophysiology, including at least two accepted publications
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, pandas, scikit-learn), Linux, and Git. Proven ability to develop well-documented, maintainable research software and manage experimental datasets. Strong publication record relative to career stage
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to work collaboratively with others and contribute to a team environment. Technical Proficiency: Skilled in using office software, technology, and relevant computer applications. Communication: Strong and
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, quantitative genetics and software development to address real-world challenges in agriculture. Working closely with CGIAR and NARES partners through collaborative visits, workshops and training activities, you
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biology analysis, bioimaging with advanced image analysis, plant transformation, AnalyzER software for analysis of cellular structures) • Experience with statistical analysis • Excellent team
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spintronics, or cavity spintronics. Proficiency in scientific software development (e.g., Python, COMSOL, HFSS). Demonstrated ability to work independently and collaboratively in a multidisciplinary environment