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functional data ”, led by Associate Professor Valeria Vitelli. Successful candidates will work on Bayesian models for unsupervised learning when multiple data sources are available, mostly tailored to the case
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for evaluation by the closing date of this announcement. Strong experience in using MRI to study brain structure. Extensive experience with machine learning in image analysis, particularly with MRI of the brain
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biostatistics. The applicant must have submitted their PhD thesis for evaluation by the closing date of this announcement. Strong experience in using MRI to study brain structure. Extensive experience with
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-structured interviews and participant observation in Norway and Sweden. For PD position 2: The ability to conduct interviews in a German is an advantage, as this role involves semi-structured interviews and
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independently and in a structured manner, while also being capable of effective collaboration with others. Personal skills We are looking for a motivated candidate with excellent problem-solving and communication