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Leibniz-Institute for Plant Genetics and Crop Plant Research | Neu Seeland, Brandenburg | Germany | 9 days ago
architecture of important crop traits like grain yield heterosis. In the era of large population size and dense genomic data such as whole-genome sequencing, new algorithms are needed to remove the bottleneck
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intelligence, A/Prof Gruber’s team focuses on the development and validation of biological ageing clocks for clinical translation and application. Appointments will be made on a two-year contract basis, in
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mathematics. The applicant should be skilled at implementing new models and algorithms in a suitable software environment, with documented experience. Experience in applying or developing machine learning
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of Medicine and Health The successful candidate will be led by Prof Paul Keall to investigate generating volumetric images of lung function from daily images taken as standard of care during radiation therapy
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focus on the fluid-structure interaction algorithm developments. The project leadership team consists of Dr Mokarram Hossain and Prof. Djordje Peric at Swansea University and Dr Chennakesava Kadapa and
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techniques to answer fundamental questions about our Universe. Candidates are expected to demonstrate an exceptional commitment to the teaching and mentoring of students. Research Group Overview: Prof. Aishik
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experimentation with Asst. Prof. Eli N. Weinstein. Your goal will be to develop fundamental algorithmic techniques to overcome critical bottlenecks on data scale and quality, enabling scientists to gather vastly
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corresponding knowledge in another way. A successful candidate should have excellent study results and a strong background in mathematics. The applicant should be skilled at implementing new models and algorithms
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. Applicants should have strong expertise in computational analysis of electrophysiological data as well as proficiency in large language models and machine learning algorithms. First-hand experience in
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models for signal transmission and reception, derivation of fundamental performance limits, algorithmic-level system design, and performance evaluation through computer simulations and/or experimental