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Field
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bioaccessibility · Scientific support in the preparation, implementation and evaluation of dietary intervention studies · Statistical analysis, interpretation and presentation of scientific data · Publication
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PhD Candidate: Modulating plant-based nutrition to enhance the sensory aspects and nutritional value
to independently perform statistical analyses on datasets using statistical software; Experience or demonstrated affinity with sensory studies/analyses is preferred; Experience with performing and/or designing
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results and develop relationships using statistical methods and other analytical approaches such as finite element, and predictive techniques. Application Procedure • A 1-page cover letter, stating
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PhD Candidate: Modulating plant-based nutrition to enhance the sensory aspects and nutritional value
skills in biostatistics, including the ability to independently perform statistical analyses on datasets using statistical software; Experience or demonstrated affinity with sensory studies/analyses is
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, econometrics, public policy, data science, statistics, psychology, public health, or another relevant quantitative discipline. A background or strong interest in one or more of the following areas would be
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Master’s degree in a relevant field such as the Natural Sciences (e.g., mathematics, physics, biology, statistics), Computer Science, Medical or Health Informatics, Econometrics, or Data Science (or a
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that conduct research in the field of computational and systems neuroscience. The Statistical Neuroscience group headed by Prof. Sonja Grün develops computational methods to analyze the joint activity
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locations. As part of the Faculty of Science, the Department of Mathematics and Statistics of the University of Helsinki is the biggest university department of mathematical sciences in Finland
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in one) will be a plus. Background in statistical learning, data analysis, or cybersecurity. Programming skills Proficiency in English [Optional] Experience with NLP or text analysis [Optional
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selection criteria Knowledge/experience with control engineering, information fusion and/or data assimilation, marine technology Knowledge of and hands-on experience with machine learning and/or statistical