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. MINIMUM QUALIFICATIONS This position requires a PhD in Geology or closely related disciplines from an accredited college or university as recognized by the United States Department of Education and/or
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QUALIFICATIONS This position requires a PhD in Public Health, Health Education, Health Promotion, Health Behavior, Community Health, or related fields, or a Doctorate of Public Health from an accredited college
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to enroll in a PhD program Preference will be given to candidates with knowledge and skills in the following areas: machine learning and neural networks, including LSTMs and explainable artificial
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Development Plan policy for postdoctoral scholars, have a PhD or equivalent terminal degree (such as MD, DVM, PsyD, PharmD, etc.), and candidates should have strong English skills and demonstrate an ability
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. Become a part of the Temple family and you will have access to the following: Full medical, dental, vision coverage Paid time off 9 Federally Observed Paid Holidays 3 Personal Days Tuition remission
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outcomes (government revenues and costs) and various economic variables. Staff economists are encouraged to publish their research findings in professional journals. A PhD in economics or statistics is
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(see http://orcid.org/ ) Teaching portfolio including documentation of teaching experience Academic Diplomas (MSc/PhD) You can learn more about the recruitment process here . Applications received after
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The University of British Columbia (UBC) | Vancouver UBC, British Columbia | Canada | about 1 month ago
Participating in research meetings and presenting technical updates Other duties as required QUALIFICATIONS PhD in Forensic Toxicology, Analytical Chemistry, Pharmaceutical Sciences, or a closely related
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Institute Exelsys Platform (https://bit.ly/3HDLRTw ), by following the instructions provided. Applicants should submit: A curriculum vitae, including a short letter of interest/vision statement, List
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, who are interested in advancing management strategies and disease prevention and control in dairy cattle populations. Applicants with expertise in complementary disciplines (e.g., computer vision, AI