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the lab’s research program. Essential Job Duties Lead the construction of an experimental system simulating post-impact conditions of early Earth atmospheres. Develop custom-designed tools to study the post
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results Be an important member of a dynamic team delivering an EPSRC funded research project, working jointly and closely with other teams at our project partners as well as industrial partners, and being
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to increase synergy and impact to the region and nation. The positions will concentrate on computational simulations and AI-driven tools, including materials discovery, design, property prediction, process
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-completion) in the master's study program must be specified. A copy of the master thesis and, if applicable, a list of other scientific publications. Academic diplomas and grade transcripts (university degrees
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background in Computational Biology/Genetics/Genomics/Bioinformatics/Molecular Biology. Candidates with expertise in applying AI/ML to high-throughput omics data, processing, and curating large-scale omics
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information, HIV/AIDs status, military status, national origin, pregnancy (false pregnancy, termination of pregnancy, childbirth, recovery therefrom or related medical conditions, breastfeeding), race, religion
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programming (Matlab and/or IgorPro). Experience using and programming ImageJ or another image analysis software. Molecular biology and/or experience with the use of viral vectors is a plus. Online Application
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students, a dynamic research agenda, and University service on behalf of the Source Project, the External Scholarships and Undergraduate Research center, and the Division of Academic Affairs. Strong
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to present further documentation to support their statements. False statements provided by candidates are punishable by law. The documents referred to in paragraphs a) to d) are mandatory. Candidates who
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control algorithms that create value for multiple stakeholders, including EV users, aggregators, grid operators, and energy markets. – Develop advanced co-simulation platforms coupling distribution network