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descriptors, molecular simulations, and machine learning, this PhD project seeks to predict ion-exchange isotherm parameters directly from molecular properties. These predictions will be integrated
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. The top-up scholarship will be offered for a duration of 3.5 years for PhD students, and 1.75 years for Master of Philosophy students. The scholarship duration will be extended as appropriate for part-time
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Midlands Graduate School Doctoral Training Partnership; | Birmingham, England | United Kingdom | 3 months ago
, R, Stata) is also desirable. Application Process To be considered for this PhD, please complete the Strategic Joint Studentship application form available online via the;'Apply' button above
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chance to actively help in shaping the change! This HDS-LEE PhD position will be located at Forschungszentrum Jülich, HHU Düsseldorf and Aarhus. We offer ideal conditions for you to complete your doctoral
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Your Job: At the Institute for Advanced Simulation – Data Analytics and Machine Learning (IAS-8) we are looking for a PhD student in machine learning to work within a project linked to the
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education at Stanford. The school encompasses 24 departments and 25 interdisciplinary programs. H&S is home to fundamental and applied research, where free, open, and critical inquiry is pursued across
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education at Stanford. The school encompasses 24 departments and 25 interdisciplinary programs. H&S is home to fundamental and applied research, where free, open, and critical inquiry is pursued across
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issues that impact our society and are offering you the chance to actively help in shaping the change! This HDS-LEE PhD position will be located at Forschungszentrum Jülich. We offer ideal conditions for
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are a full-time honours year or PhD student studying a topic of relevance to prudential supervision and are an Australian or New Zealand citizen or permanent resident you are eligible to apply
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to $8,000 Duration: One-off Quantity: 1 Eligibility and selection criteria Eligibility To be considered for this award, you must be enrolled as a Master of Music (Performance Teaching) or PhD student in Music