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Field
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. Strong coding skills for programming neural networks, machine learning and machine learning software frameworks (e.g. PyTorch or Jax) is a must. The ability for creative and analytical thinking across
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for the duration of the project; You have well-developed research skills, including the ability to formulate creative research questions, descriptive and analytical skills, and a clear and persuasive style
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6 months for the duration of the project; You have well-developed research skills, including the ability to formulate creative research questions, descriptive and analytical skills, and a clear and
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Computer Science, Machine Learning, Operations Research or a related technical field. Strong background in deep learning with a motivation to advance fundamental techniques. Excellent analytical, problem-solving
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learning, single-cell genomics, and neurogenetics. Your project will focus on developing new methods to understand how genetic variants affect not only individual brain cells but also change the way cells
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and target trial emulation frameworks to design and conduct studies that compare alternative analytic strategies; apply and validate methods using real-world data sources; investigate approaches
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necessary (noting that an outstanding Master's thesis can compensate for a moderate first degree performance achieved 16/20 or higher in both theses); • The applicant should have excellent analytical and
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monitoring. Responsibilities Drive forward the department’s analytical and statistical expertise in remote sensing, LiDAR, AI tools, GIS, and spatial modeling. Take a leading role in developing digital tools
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analytical and quantitative skills, including proficiency in statistical software (e.g., Python, R). Demonstrated interest in climate change, sustainable finance, and corporate sustainability. Strong written
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about 40 % of all employees are internationals. In total, it has more than 600 students in its BSc and MSc programs, which are based on AAU's problem-based learning model. The department leverages its