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(e.g., Python, Matlab, Fortran or C/C++) Experience in numerical solutions of differential equations and knowledge of statistics and probability are desirable Strong interest in translational
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computing is an advantage Excellent programming skills (Python, Matlab or C), Good dominion of biomedical signals and human physiology is desirable, Strong interest in translational endocrinology and digital
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command of written and spoken English Strong communication skills and the ability to thrive in interdisciplinary collaborations Basic programming or data science skills (e.g., R or Python) and an interest
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and their cognitive functions and vulnerability to mental conditions. By applying neuroimaging, genetics and network neuroscienceanalyses to MRI data from multiple species, the project aims to study the
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creative and collaborative mindset strong programming skills in Python or Rust strong skills in deep learning systems strong analytical and problem-solving skills fluency in English, both written and spoken
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to countless signals. While traditional approaches have uncovered much of the genetic foundation of response pathways to individual signals, how plants integrate multiple co-occurring signals on the cellular
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transporters based on their structural characteristics. Main activities: -Conduct multiple sequence alignment of plant transporters using phylogeny-aware profiles -Computationally predict and then analyze high
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topics include: Modelling, simulation, and optimisation of integrated energy systems and energy hubs combining multiple vectors, such as electricity, heating, cooling, gas, hydrogen, and transportation
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Applying machine learning-guided directed evolution to improve multiple enzyme properties Upscaling selected biotransformation reactions in collaboration with academic partners Responsibilities and
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machine learning and AI research. Strong analytical thinking, problem-solving skills, and the ability to engage with complex data challenges will be greatly valued. Experience with Python or AI frameworks