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observational cosmology, including analysis of data from space and ground-based telescopes Earth Science and Climate Change: Monitoring and modeling Earth’s climate system using satellite remote sensing and
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broad and may include (but is not limited to): Machine learning for molecular and reaction property prediction AI-based reaction modeling and retrosynthetic analysis Data-driven approaches to spectroscopy
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astrophysics at undergraduate and graduate levels. Domains: Observational Cosmology, CMB Physics, Early Universe Responsibilities: Research CMB observations, data analysis, and instrumentation. Collaborate
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. Supervise students in experimental atomic physics, including data analysis and real-time measurement techniques. Teaching Responsibilities: Introduction to Nuclear Physics: Basic principles of nuclear
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experience of data collection, audit preparation, budgeting, financial reporting, report writing, business planning, maintaining risk registers, etc. Capable of exercising judgement and making decisions on a
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. Proficiency in relevant software tools for research, data analysis, and teaching (e.g., MATLAB, Python…). Strong problem-solving and critical-thinking skills. Ability to work in a multidisciplinary team and
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students or supervising research projects. Expertise in laboratory management, experimental design, and analysis in biotechnology contexts. Proficiency in relevant software tools for research, data analysis
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the organization of proposal applications in specific area of expertise, (d) administer the workstations and laptops in which scientific computation software are installed, (e) ensure all scientific data and
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characterization techniques. Supervision of master and PhD students, providing guidance on experimental techniques, data analysis, and research methodologies. Publish research findings in high-impact journals and
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research plans Names and contact information of three external referees (not currently affiliated with UM6P) Letters of recommendation from recognized peers in the discipline UM6P.