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, hydrology, physics‑based modelling, statistics, or remote sensing. Experience with Python, scientific computing, or geospatial data tools (e.g., GIS, satellite imagery processing) will help you hit the
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quantum electron optics. • Ideally, you have experience in Python-based data analysis workflows. What we offer: Work-life balance: Our employees enjoy flexible working hours and can partially
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with quantum dots. • You have experience in academic writing. • You should have experience with programming in Python, and knowledge of LaTeX. • You have excellent command of written and spoken
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, forest inventory methods, environmental and tree-attribute measurements, spatial statistics, causal inference, and programming in R and/or Python. The studies will be conducted mostly as a combination of
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); Contact information for three references. Applicants are encouraged to highlight their experience with Python, Linux, computer vision/image processing, computational pathology, and/or multi-omics
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skills in Python and/or C++, familiarity with robotic software frameworks such as ROS/ROS 2, and demonstrated ability to implement, integrate, test, and troubleshoot robotic systems. Motivation for
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scientific computing. The candidate should have strong Python programming and numerical optimisation skills. Experience with PyTorch, inverse problems, GPU programming or ultrasonic imaging would be an
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foundations in mathematics, statistics, and machine learning, combined with solid programming skills (e.g., Python) A strong interest in both foundational machine learning research and applications in
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and/or Python Ability and willingness to conduct extended fieldwork in tropical environments Excellent written and spoken English Ability to work independently as well as collaboratively in an
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coding in python and experience with Unix-based systems and in machine and deep learning. Other desired qualifications are: extensive knowledge in microbial genomics including phylogenetic analysis