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be based on their capacity to benefit from the training. The following criteria will be used to assess this capacity: experience in molecular biology with fungi familiarity with fungal genetics strong
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on their capacity to benefit from the training. The following criteria will be used to assess this capacity: experience with bioinformatic work experience in evolutionary genomic work familiarity with fungal biology
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beneficial oomycete Pythium oligandrum and includes experiments in controlled and field conditions. The practical work also includes culturing oomycetes and plants, sampling for molecular and microbiome
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fundamental research Willingness to work as part of a team. In addition, desirable requirements include: Experience in organic semiconductor processing and characterization Knowledge or experience related
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the foliar late blight pathogen Phytophthora infestans, the seedling damping off pathogen Pythium ultimum and the related beneficial oomycete Pythium oligandrum and includes experiments in controlled
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requires excellent study results at the master’s level, strong programming skills in Python, and experience with at least one of the popular deep learning libraries (PyTorch, TensorFlow, Keras, etc.). Good
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conferences and network activities Self-motivation and a strong interest in science and fundamental research Willingness to work as part of a team. In addition, desirable requirements include: Experience in
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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
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. Candidates should have documented background in computational physics. It will be considered a merit with previous experience or knowledge in one or several of the following topics: automation, machine
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at the master’s level, strong programming skills in Python, and experience with at least one of the popular deep learning libraries (PyTorch, TensorFlow, Keras, etc.). Good verbal and written communication skills