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future of smart agriculture. II. Positions and Requirements A. Young Scientists: 5 Positions Research Area 1: Scientist in Bio-breeding Algorithms Develop intelligent decision-making algorithms and models
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specified podcast-listening inputs; documenting and organising algorithmic recommendations and other outputs displayed in different sections of the platforms’ user interfaces; contributing to the comparative
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pathway which can have the potential for treating certain genetic diseases and cancer. Co-authors are dr hab. inz. Umesh Kalathiya from the ICCVS, University of Gdańsk and prof. Sławomir Makowiec from
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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | about 1 month ago
preserved at ambient temperature provided it is protected from light and humidity. Goal The goal of the project is to develop an algorithm to allow robust retrieval of data in the context of DNA-based data
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on studying genetic variation and determining how different variants co-occur on the same paternal or maternal haplotype, a process known as haplotype phasing. We have previously developed methods for haplotype
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to the development of more general-purpose randomised optimisation algorithms for combinatorial optimisation through a greater unification of different search strategies under appropriate abstractions. Work Plan: 1
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on studying genetic variation and determining how different variants co-occur on the same paternal or maternal haplotype, a process known as haplotype phasing. We have previously developed methods for haplotype
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acoustic propagation that are applicable to a wide range of ocean environments. (40%) Lead efforts to translate propagation and uncertainty models into computationally efficient algorithms that can be
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Gene Core, This core facility provides specialized support for researchers in the design of genetically engineered (modified) mice, as well as the design and construction of viral vectors and plasmids
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neighbourhood exploration in combinatorial optimisation: Research in randomised optimisation algorithms, including evolutionary algorithms, tabu search, and many other approaches also collectively known as meta