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Project 2: Experience working with large datasets and machine learning Reasonable proficiency in any coding language used in data science Mixed-methods research experience Online Application Required
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different backgrounds (medicine, veterinary medicine, biology, biochemistry and biotechnology) with a uniform basis on which to build in subsequent semesters. In the second to fourth half-year modules
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thesis and a final exam. The first semester concentrates on the fundamental principles of immunology, microbiology, virology and cell biology, providing students who come from a range of different
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doctoral fellows University location Located in Northern Bavaria, it is easy to travel to and from Bamberg using many different means of transport. For those travelling by car, the city can be reached from
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for improved understanding of structural and kinetic processes in electrolytes; and machine learning concepts for improved analysis of experimental and simulated data. Material Synthesis Within this research
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foundation for theory-guided catalyst design e. g. by machine learning approaches. Duties of the position Complete the doctoral education until obtaining a doctorate Carry out research of good quality within
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of excellent research, innovative solutions, education or learning, we must make a positive difference to society and contribute to a sustainable future. We do this by cultivating talents and creating the best
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The molecular biosciences are undergoing a major paradigm shift – away from analysing individual genes and proteins to studying large molecular machines and cellular pathways, with the ultimate goal
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Statistics for the Australian Grains Industry 3 (SAGI3). Investment. The University of Adelaide, in collaboration with Curtin University and The University of Queensland, is leveraging machine learning, data
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relevant experience in the development and deployment of machine/deep learning models as well as the use of remote sensing data You must have relevant experience in the development of hydrodynamic and water