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qualities; the ability to work independently and engage with other people in a way that instils confidence; and a good track-record when it comes to cooperation. We expect you to be flexible and open to
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into consideration. We are looking for someone with a doctoral degree in molecular biology or related subjects and a strong track record of publications. Experience in the supervision of Bachelor and Master students
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into consideration. We are looking for someone with a doctoral degree in molecular biology or related subjects and a reasonable track record of publications. The applicant is expected to have a strong background
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fluorescence microscopy. It is meritorious that the applicant has shown: A solid track record from the PhD and postdoctoral period, preferably in the field of intracellular protein degradation. Experience with
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consequences of keel bone deviations: What impact do these have on hen behaviour and wellbeing? high-tech welfare assessment: Help develop a non-invasive computer vision method to track and analyze how hens move
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Familiarity with optimization algorithms and design of experiments methodologies Experience with high-performance computing environments Track record of publications in peer-reviewed journals Previous
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methodologies Experience with high-performance computing environments Track record of publications in peer-reviewed journals Previous experience with Open Science practices (e.g. contributions to open-source
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and programming experience (e.g. R, Python) are required. Experience with psychophysiological methods, such as eye tracking and skin conductance, is advantageous. Excellent academic merits, including
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is a tenure track position, which aims for the holder to develop their independence as a researcher and educator. The work duties mainly involve research and teaching. The position includes
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: Help develop a non-invasive computer vision method to track and analyze how hens move in 3D space. You will gain hands-on experience in behavioural studies, animal welfare science, and innovative data