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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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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
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(e.g. Python, R) or a universal programming language (e.g. C#, Java, C++, Rust) Knowledge of the use of relational and non-relational databases Very good English skills (written and spoken) High
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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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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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multiple phase transformation, with some phases showing extensive plastic deformation, during mechanical loading and contact. The generation of particles is rooted in the complex fracture events spanning
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Analysis (ICA), Variational Autoencoders (VAEs), and matrix factorization techniques); · Experience with programming in Python and machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn
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such as Matlab or Python is important. This is what we offer you A temporary contract for 38 hours per week for the duration of 4 years (the initial contract will be for a period of 18 months and after