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Python and modern machine‑learning development, including version control (Git), testing, and reproducibility; experience with cloud-based solutions (e.g., Azure) is a plus. In our international working
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including transformers, self-supervised learning, foundation models, autoencoders or related architectures; strong programming skills in Python and experience with a deep-learning framework such as PyTorch
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with deep generative models (VAEs, GANs, diffusion models) or probabilistic modelling is a strong plus. You have good programming skills in Python and experience with a deep learning framework such as
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Stichting Climate Litigation Network | Amsterdam, Provincie Noord Holland | Netherlands | about 2 months ago
, modelling, and visualisation including using R and/or Python. Willingness to think creatively and work alongside a broad range of experts to apply existing knowledge to novel legal challenges. Highly
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skills. experience in data analysis, quantitative modeling and programming (e.g., R, python); knowledge of nutrient and/or agrochemical cycles in agriculture; excellent scientific writing skills in English
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architectures; • strong programming skills in Python and experience with a deep-learning framework such as PyTorch, including training and evaluating models on GPU/HPC infrastructure; • experience working with
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data science, biomedical engineering, technical medicine, or a related field. You should have strong programming skills (Python, PyTorch), deep learning knowledge (multimodal learning, longitudinal
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(40% of the social sector). Information This is a four-month position. The Data analyst will contribute to training existing econometric models in R and Python and running scenarios, as
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, for example using Python or comparable tools, and experience with GIS-based spatial analysis. The ability to work with heterogeneous geological, hydrogeological and monitoring datasets and to connect
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related field; a solid understanding of molecular genetics, glial and myelin biology and rare neurological diseases; experience with either iPSC culture and differentiation or programming (Python and/or R