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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 7 hours ago
Experience Experience in computational biology research Preferred Qualifications, Competencies, and Experience Candidates applying should be proficient in one or more of the following programming languages
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machine learning methods in the context of biological systems Experience with programming (e.g., Python, Perl, C++, R) Well-developed collaborative skills We offer: The successful candidates will be hosted
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and oral communication skills Ability to mentor and collaborate with graduate students What You Need to Do: Select the Apply button to begin your application! Submitting a cover letter and resume is
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presentations Excellent communication skills in English (both spoken and written) Desirable: Experience in microbial genomics and biosynthetic gene cluster (BGC) analyses Microbiomics (e.g., NGS) A scientific
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approaches (based on functional programming abstractions) to optimize the implementation of machine learning models and other digital signal processing algorithms on a specific FPGA architecture to fit within
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The Position Program Start Date: January - December 2026 (can be flexible within this time frame) Location: South San Francisco Length of Assignment: up to 4 years Education Level: Recent graduates
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additional secondment partners the candidate wishes to bring onboard. iv) Evidence of English proficiency (minimum CEFR B22, also checked at interview). v) A draft Individual Career Development Plan (ICDP). vi
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) program - one of the four scientific pillars of the upcoming FAIR (Facility for Antiproton and Ion Research) facility currently entering its commissioning phase. In particular, the DESPEC experiment
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additional secondment partners the candidate wishes to bring onboard. iv) Evidence of English proficiency (minimum CEFR B22, also checked at interview). v) A draft Individual Career Development Plan (ICDP). vi
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major programming language, such as Java, C/C++/C#, Python, and preferably in several languages; proficiency in the Linux operating system and deployment and configuration of virtualised environments