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Field
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include data review and gap analysis, decomposition and simulation modelling using tools such as LEAP Ireland, and supporting the design, testing, and validation of policy-relevant indicators and sectoral
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position. Please note that in order to comply with the applicable data protection regulations, we can only accept applications via our web-based applicant tool for this vacant position. Application Documents
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communication limitations, adversarial conditions, continual and adaptive learning in dynamic environments. The research will combine tools from distributed optimization, stochastic approximation, information
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essential. You should be confident working with tools such as R and common metabolomics software, and have a track record of delivering research effectively and collaboratively. Excellent communication skills
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experiment tasks, implementing the infrastructure that handles message exchange and tool calls, and devising tools that control beamline instruments and launch simulations/analyses. You will help integrate
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partners. Note: this position requires in-person work arrangements at NLR's South Table Mountain Campus in Golden, CO and is not eligible for 100% remote work. . Basic Qualifications Must be a recent PhD
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(e.g. RNAi, CRISPR/Cas9, small-molecules). In this context, we also develop new computational tools for automated analysis and data visualization. These include algorithms and software applications
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generation, sequence analysis, and data management Rapid Evaluation of newly emerging computational tools relevant for protein design Implementation and optimization of experimental workflows for rapid protein
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: • Responsibilities include data analysis, development of software tools, and preparation of manuscripts. • Other duties as assigned. Qualifications Required: • PhD in a STEM-related field • Strong quantitative and
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tests like q-PCR, PCR and amplicon sequencing etc To be able to use appropriate bioinformatic tools for assembly and functional annotation of soil metagenomes To analyse the data using appropriate