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the positive ones for different stakeholder groups, as a basis for policy making? Are you interested in spatial optimization algorithms and uncertainty assessment? Then this PhD position at the Department
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/genome biology, minimum grade B (ECTS grading scale) or equivalent. The Master’s degree must include a thesis of at least 30 ECTS. Programming skills in Python, R or equivalent scientific computing
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. In addition, the following are requirements for the role: Strong programming and quantitative skills, particularly in Python and/or R. Experience in deep learning, machine learning, or large-scale
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part of change Development of novel image and video representations Research on alignment between different visual representations, e.g. foundation models Research on properties of learned visual
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Python scripts, calibrate specialised instrumentation and solve technical challenges that directly support researchers conducting experiments in a unique outdoor laboratory. Working alongside researchers
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aptitude for learning molecular biology and the human genome. Documented knowledge of statistical theory and methods, data mining, and machine learning methods. Documented shell script, R, Python, and C
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Mathematics, Operational Research, or a closely related discipline. Demonstrable experience of conducting independent research and delivering research outputs. Strong programming skills in Python for data
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males and females respond differently to bacterial infection. The successful candidate will play a leading role in the imaging and data analysis components of the project. They will develop and apply high
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, or density ranges. We recognize that acoustic-based abundance estimation may ultimately require multiple complementary approaches that address different components of the acoustic observation process and
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” modeling solutions; we are open to and excited about applying all different types of statistical and ML techniques, from linear models to deep learning, depending on what best fits a given problem. The most