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or Python and general programming languages such as C/C++ or Python. Familiarity with Unix/Linux operating systems. Applicant must be highly organized, have excellent attention to detail, and possess sound
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or Python and general programming languages such as C/C++ or Python. Familiarity with Unix/Linux operating systems. Applicant must be highly organized, have excellent attention to detail, and possess sound
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engage across multiple projects and research applications. Experience in the following areas is a preferred and will help the candidate succeed: Li-ion batteries, materials characterization, critical
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, store, and maintain data. The successful candidate will have demonstrated competence in developing highly scalable artificial intelligence systems with multiple dependencies across teams. Essential Duties
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technologies such as PHP, .Net, and Python. Integrate third-party APIs and other data sources into existing systems as needed. Coordinate with other members of the IT team and stakeholders across the institution
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(target gene selection, power analyses, guide-library design, readout selection). Build, maintain, and document reproducible analysis pipelines (Python/R; Snakemake/Nextflow preferred) for novel
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inference by constraining all operations, including matrix multiplications and activations, to integer arithmetic. This line of research has already led to promising results in semantic segmentation with
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research that covers the energy value chain from generation to innovative end-use solutions, motivated by industrialisation and deployment. ERI@N has multiple Interdisciplinary Research Programmes which
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experience in scientific data visualization, AI/ML, or a related field. Proficiency in the Python and C++ programming languages. Preferred Qualifications: Strong publication record with publications in
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, statistics or a related field. Proficiency in Python and C++ programming languages. Excellent written and oral communication skills. Preferred Qualifications: Strong publication record with publications in