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of strictly anoxic systems Microbial physiology assays, analytical chemistry and metabolomics Meta-omics approaches Fluorescence in situ hybridization (FISH, CARD-FISH) & advanced microscopy. Candidates with
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profile PhD in Electrical Engineering, Computer Science, Applied Mathematics, or a closely related fieldStrong research track record, preferably with publications in leading AI and Computer Vision
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PRIMARY DETAIL • Salary Package: $109,272 – $117,108 per annum ((Level A.6–A.8, PhD Awarded Rate), or a higher salary may be considered for candidates with significant relevant experience, plus 17
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Specification Essential Criteria: 1. Qualifications A good first degree in Computer Science, Artificial Intelligence, Data Science or a closely related discipline. A PhD in Explainable Artificial Intelligence
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theories. 5. Develops advanced analytical models and systems and provides solutions and analyses to support strategic and tactical decisions. 6. Adheres to University and unit-level policies and procedures
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environmental quality. The fellow will contribute to field and laboratory studies, data analysis and modeling, publication of results, and development of decision-support tools for producers, advisors, and agency
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, mineral, or biochemical analysis. •Use analytical equipment (pH meters, CO2 sensors, soil/root/plant sensors, chlorophyll fluorescence, etc.) and process samples using standard laboratory analytical
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-synaptic elements Targeted genetic manipulations of the neurons studied Analytical activities Extraction and analysis of transcriptomic data (RNA-seq) from single cells Bioinformatic analyses related
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analytical skills and scientific rigor. 🇬🇧 You enjoy teamwork and possess excellent oral and written communication skills in English. 🎓 The successful candidate must hold a PhD in Computer Science, obtained
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, biostatistics, data science, or a related field are encouraged to apply. A candidate who has recently submitted the PhD thesis or is about to submit the thesis is encouraged to apply. A strong computational