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impact. Academic Leadership The Fellow will work under the supervision of internationally recognised experts in their fields: Dr. Muhammad Afzal (Senior Lecturer, Lead of Big Data Analytics): Dr. Afzal is
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, geospatial data), clean and manipulate them into analysis read versions. - Identify new and emerging data science techniques that will enhance project design and analytical rigour. - Planning, conducting and
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months. About You To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD qualified in microbiology * Extensive practical experience
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completion) in AI, Machine Learning, Data Science, Control or Energy Systems Engineering, or a related field. Strong expertise in AI for real-time systems, predictive analytics, or Digital Twins. Experience
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the deployment of teaching expertise across the Faculty. The Faculty has unparalleled expertise in basic, translational and clinical research in: analytical and forensic science; asthma and allergy; biophysics and
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has unparalleled expertise in basic, translational and clinical research in: analytical and forensic science; asthma and allergy; biophysics and cell biology; cancer; cardiovascular; nutrition and
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of master and PhD students, involvement in teaching and laboratory and academic management and grand application writing. Please also visit: https://neurochem.univie.ac.at/ Your future tasks: Active
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at the forefront of contemporary trauma care. About You The post holder must be pursuing / completed a PhD degree or equivalent in Bio Medical Science related field. Pursuing / completed PhD degree or equivalent in
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working culture. Person Specification First degree and a PhD relevant to research area or equivalent qualifications High level analytical capability Ability to communicate complex information clearly
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international, competitive research environment High level analytical capability Ability to communicate complex information clearly Fluency in relevant models, techniques or methods and ability to contribute