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Field
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promoted. The ERA Fellowships – Green Hydrogen programme, funded by the Federal Ministry of Education and Research (BMBF), is complemented by comprehensive networking measures and the establishment of four
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personal qualifications A PhD in data science, statistical genetics, quantitative genetics, bioinformatics, statistics, computer science, or closely related fields (required). Experience with large-scale
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biogeochemical processes carry out model testing and evaluation against observations write, present and publish peer-reviewed scientific articles Qualifications You must hold a completed PhD in Geology, Geophysics
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Ecosystem Research Network (TERN) is the national observatory for Australian ecosystems, delivering data streams that enable environmental research and management. TERN’s infrastructure is designed to examine
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English-speaking program. 2. Demonstrated experience in cybersecurity, computer networks, or artificial intelligence. 3. Demonstrated research experience as demonstrated by publication records. 4
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English-speaking program. 2. Demonstrated experience in cybersecurity, computer networks, or artificial intelligence. 3. Demonstrated research experience as demonstrated by publication records. 4
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. The fellow will work with Dr. William C.W. Chen and faculty at USD Department of Computer Science. This position is part of the federally funded multi-institutional South Dakota Biomedical Computation
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promoted. The ERA Fellowships – Green Hydrogen programme, funded by the Federal Ministry of Education and Research (BMBF), is complemented by comprehensive networking measures and the establishment of four
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conclusions. Student Supervision: Play an active role in mentoring and supervising both graduate (MSc and PhD) and undergraduate students, fostering their academic and research growth. Teaching Contribution
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the following training will be considered PhD in computer science, machine learning, AI or related computational field, or, Ph.D. in a health-related discipline with experience in experimental science, devices