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Position Summary: The UM6P Vanguard Center & The School of Applied Sciences & Engineering at UM6P invite applications for the position of Scientist in Data Science & Machine Learning to support the
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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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real-world cases. Co-develop teaching modules and interactive simulations that explore decision-making, value trade-offs, and policy implications in complex environments. Support data-driven inquiry
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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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platforms). Support modeling, simulation, and data-driven optimization using tools such as ROS, Unity, Modelica, Simulink, and SCADA platforms. Collaborate with faculty and industrial partners to create
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data science tools.... A dynamic anglophone academic and research environment. Strong institutional and clinical partnerships with national and international healthcare and industry actors. Full support