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analyzing complex biological data, developing innovative algorithms, and contributing to groundbreaking research projects in the department. You will contribute to strengthening our capabilities in the fields
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of machine-learning algorithms for unmanned aerial vehicles; dissemination of the results in international conferences and journals; proposal writing for external funds. Your profile The successful candidate
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considers ethical pros and cons of different ways of applying algorithmic instruments in the determination of criminal sentences and seeks to develop guidelines for the proper use of such instruments
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and automated catch registration to advance commercial fisheries. The team is developing fish detection and species identification algorithms, with the goal of implementing the software in
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infrastructure, affordable computational resources, and advanced modeling algorithms. MPCs excel in handling constrained optimizations and new operational conditions, whereas RLs offer computational efficiency and
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algorithms is an advantage. Some experience within molecular and cellular biology and/or wet-lab skills is an advantage. Good interpersonal skills with a collaborative and inclusive mindset. Willingness
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contemporary data-driven techniques. Computational methods such as optimization, filtering algorithms, predictors, etc. Software and coding skills with, e.g., Python, MATLAB, R, C++, Julia, potentially HIL
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developing, implementing, and validating algorithmic and error-mitigation strategies to address key challenges in applying quantum computing to strongly correlated molecular systems. The goal of this project
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contemporary data-driven techniques. Computational methods such as optimization, filtering algorithms, predictors, etc. Software and coding skills with, e.g., Python, MATLAB, R, C++, Julia, potentially HIL
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and thermophysical properties. Furthermore, the group excels in development of efficient phase equilibrium calculation algorithms for compositional simulations. The project is supported by a robust