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-disciplinary involving algorithmics, stochastic optimization, multi-criteria decision making, and data science. As part of the project, you will implement and test algorithms and further develop your skills in
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. Establish independent research areas. Required qualifications: As a formal qualification, you must hold a PhD degree (or equivalent) in computer science, computer engineering, or electrical engineering
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degree (or equivalent) in microbiology, biotechnology, food science, or a closely related field. Strong background in yeast biology, fermentation technology, or protein-rich microbial systems. Experience
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of single indistinguishable photons for photonic quantum information technology. Single-photon sources play an important role in photonic quantum information applications, which generally require near-unity
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the experiments. You will also have the opportunity to carry out your own simulations with our numerical model. Qualified applicants must have: A strong drive to move the frontiers of science. Ample experience with
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Biosustain) Recent progress in our ability to read and write genomic code, combined with advances in automation, analytics and data science, has fundamentally changed the scope and ambition of harnessing
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experimental research-based technology integration, modeling, control, and data-driven analysis and toolset development. Here is the chance to work in a pleasant team atmosphere, dive into research and at
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Job Description Are you driven by the potential of AI in medicine? Are you excited by the translational impact of bioengineering research and its potential to bridge fundamental science with real