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development. Experience with implementing statistical learning or machine learning (e.g. Bayesian inference, deep-learning). Programming skills in Python and experience with frameworks like PyTorch, Keras, Pyro
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, ocean, marine ecosystem, and impact models of different complexity and will include both traditional and new ocean modelling approaches with the final objective of delivering: (i) coordinated and
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contributes to the development of personalized microbiome-based strategies to aid in the detection, monitoring, treatment, and prevention of human diseases (e.g., Li et al., Nature Metabolism, 2024; Ni et al
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to the development of personalized microbiome-based strategies to aid in the detection, monitoring, treatment, and prevention of human diseases (e.g., Li et al., Nature Metabolism, 2024; Ni et al., Cell Metabolism
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for the first time to map wealth trajectories over more extendedperiods of people’s lives. One objective of the project is to establish the intergenerational relationships between family background and wealth
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for the first time to map wealth trajectories over more extended periods of people’s lives. One objective of the project is to establish the intergenerational relationships between family background and wealth
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on two core but complementary areas: Computer vision and sensor data analysis, applied to tasks such as object detection in drone images (e.g., pest or disease detection), object tracking (e.g. leaves
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, Java, C#, C++) Good knowledge of object orientation and at least basic knowledge of UML Knowledge in the field of machine learning Good knowledge of machine learning (e.g. Object Detection
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E13 Job Description The successful candidate will join an interdisciplinary team focused on applying bioinformatics to personalized oncology. The primary objective is to unravel molecular pathways