119 computer-science-programming-languages "Data driven Materials Modeling" Master positions
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tertiary qualification in engineering, chemical engineering, materials science, or a related discipline. An interest in applied scientific research and a desire to gain hands-on laboratory and research
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deliverables are met. • Any ad-hoc duties assigned by Supervisor. Job Requirements • Bachelor’s or Master’s degree in Chemical Engineering, Energy Systems, Data Science, Computer Science
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deliverables are met. Any ad-hoc duties assigned by Supervisor. Job Requirements Bachelor’s or Master’s degree in Chemical Engineering, Energy Systems, Data Science, Computer Science, Environmental
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experimental investigations on two battery materials Finally, you will evaluate the measured data and draw conclusions about the resulting particle clouds and their process-dependent properties What you
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, with an interest in probability theory, mathematics, and data science. Very good practical C++ and Python programming skills allow you to make your ideas happen. Very good command of written and
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Position Details Position Information Recruitment/Posting Title Program Director of the Master of Science in Clinical Laboratory Science Department SHP - CLMIS Salary Details A minimum of $95,000
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About the scholarship Application status: No application required Applicable study: MSc, MSLTPrac (Part II), MBioEnt or MA (in a Science discipline) Opening date: By nomination Closing date: No
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61291 Summer Student Intern – Forestry, Plant Science, Microbiology or Environmental Science - Scion
your scientific communication and data analysis skills. Valuable experience to support future study and career opportunities in science. About us | Ko wai mātou We've built something new. AgResearch
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Faculty-Master of Science Counselor Education Apply now Job no: 11236 Work type: Full Time Location: Providence, Rhode Island Categories: Faculty, Academics, Academic Year, Campus Based Summary
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the field of data-driven modeling and identification of nonlinear dynamical systems . You will familiarise yourself with state-of-the-art approaches in transfer learning and meta learning for system