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/molecular biology, parasitology, protein biochemistry, structural biology or a similar field. • excellent command of English (working language at the institute). • strong communication, interpersonal
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. Master’s degree (or be in the final stages obtaining degree) in cell/molecular biology, parasitology, protein biochemistry, structural biology or a similar field. Excellent command of English (working
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good command of English. WHAT WE OFFER The University of Helsinki is one of the leading multidisciplinary research universities and ranks among the top international universities in the world. It is an
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interdisciplinary and international research teams Excellent command of spoken and written English Research group The Machine Learning for Health team focuses on applying artificial intelligence to derive meaningful
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desirable Ability to work independently, as well as collaboratively in interdisciplinary and international research teams Excellent command of spoken and written English Research group The Machine Learning
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. Requirements for the position The task requires: Accuracy and punctuality Excellent IT skills, especially in various reference programs (FileMaker, OneNote, Mendeley) Excellent command of Microsoft Office
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command of Microsoft Office programs Mastery of scientific referencing systems Ability to work independently The following are considered an advantage: Proficiency in OneNote or similar reference programs
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, chemistry, or similar. A good command of English is required, Finnish language is not. Applicants must fulfill the admission criteria of the Aalto Doctoral Programme, and the selected candidate should apply
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of university lecturer in biostatistics requires proficiency in Finnish. The position also requires a good command of English. WHAT WE OFFER The University of Helsinki is one of the leading multidisciplinary
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disclosure control as well as pseudonymization and anonymization techniques. Familiarity with the principles of differential privacy (DP). Knowledge of machine learning methods for generating synthetic data