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positioning of results for partnerships, licensing, or venture creation. Your profile PhD (or equivalent experience) in Computational Biology, Bioinformatics, Systems Biology, Machine Learning, or a related
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–software co-design for privacy and integrity. ● Mentor undergraduate and graduate students in experimental design, data analysis, paper writing, and professional development; provide apprenticeship
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at: www.fz-juelich.de/gp/Careers_Docs Further information on doctoral degrees at Forschungszentrum Jülich (including its various branch offices) is available at https://www.fz-juelich.de/en/careers/phd We
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results in the form of scientific publications and by participating in international conferences and workshops. Contribute to supervision of PhD, MSc and BSc students and other teaching activities
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 4 days ago
machine learning, computer systems and software, and theoretical foundations of computing. We span traditional and modern thinking, connecting decades of computer science methodologies with modern data and
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software (e.g. ArcGIS, QGIS) and coding environments (e.g. Python or R), collaborating across LUMHR themes, and supporting interdisciplinary research activity. Teaching support may be required, up to a
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positioning of results for partnerships, licensing, or venture creation. Your profile PhD (or equivalent experience) in Computational Biology, Bioinformatics, Systems Biology, Machine Learning, or a related
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Documents: Motivation letter explaining the interest in the position, Detailed Curriculum Vitae with transcripts and, degree certificate. Apply online clicking on the “Apply Now” button in this form (https
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major advantage. You should have a university degree at PhD level in the field of economics or similar with above-average success. Our team offers flexible working hours and intensive cooperation in a
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have a PhD in Civil Engineering, Engineering Mechanics, or Mechanical Engineering. Applicants are expected to demonstrate research experience in the fields of structural modeling and machine-learning