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Field
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, bioinformatics, and mass spectrometry data analysis. You like a challenge and you have a problem-solving mindset. You have good statistical skills and experience with analyzing metabolomic and metagenomic
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predict cycling travel conditions from various perspectives (safety, crowding, travel time, comfort, etc.). Therefore, various data sources including real-time traffic counts from inductive loop detectors
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the application procedure. For more information on this check, please consult Chapter 8 of the National Knowledge Security Guidelines . We carry out this check on the basis of legitimate interest. Please do not
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the selection procedure. For the final candidates, a knowledge security check will be part of the application procedure. For more information on this check, please consult Chapter 8 of the National Knowledge
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for medical imaging, tailored for deep learning. The high-level goal of the project is simple: to use anatomical knowledge and existing knowledge as training data for deep neural networks (instead of manual
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relevant field, such as Food Safety, Data Science, Food Science, Biotechnology; experience in predictive modelling and quantitative microbial risk assessment approaches; experience with relevant software
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be part of the selection procedure. For the final candidates, a knowledge security check will be part of the application procedure. For more information on this check, please consult Chapter 8
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be part of the selection procedure. For the final candidates, a knowledge security check will be part of the application procedure. For more information on this check, please consult Chapter 8
-
the selection procedure. For the final candidates, a knowledge security check will be part of the application procedure. For more information on this check, please consult Chapter 8 of the National Knowledge
-
, stress or endocannabinoid system. You like a challenge and are not afraid of combining neurobiology and chemistry. You have good statistical skills and experience with analyzing big data (e.g. RNA-seq