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privacy. Societal digital transformation. INESC-ID promotes cooperation between academia and industry by addressing research on daily life issues, such as healthcare, space, mobility, human language
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relationships in organic semiconductor materials, working closely with Professor Chris McNeill in the Department of Materials Science and Engineering, Dr. Amelia Liu in the School of Physics & Astronomy as
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promotes cooperation between academia and industry by addressing research on daily life issues, such as healthcare, space, mobility, human language technologies, agri-food, industry 4.0, and smart grids
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postgraduate qualification in Data Science / Computer Science (PhD preferred) Strong expertise in Python and/or R, SQL, data engineering and machine learning Experience with EMR systems (Cerner highly desirable
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addressing research on daily life issues, such as healthcare, space, mobility, human language technologies, agri-food, industry 4.0, and smart grids. This high level of knowledge transfer is achieved through
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/frauenfoerderungs-und-gleichstellungsplan/) PhD awarded by the application deadline or within the last 4 years (extensions recognized for parental/care duties, illness, or other career breaks). A strong research
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of gender identities within the legal framework and the University’s Equality Plan: https://satzung.univie.ac.at/alle-weiteren-satzungsinhalte/frauenfoerderungs-und-gleichstellungsplan/ PhD awarded by
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/) PhD awarded by the application deadline or within the last 4 years (extensions recognized for parental/care duties, illness, or other career breaks). A strong research track record commensurate with
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of gender identities within the legal framework and the University’s Equality Plan: https://satzung.univie.ac.at/alle-weiteren-satzungsinhalte/frauenfoerderungs-und-gleichstellungsplan/ PhD awarded by
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, please note that we will accept no more than one re-application. If you choose to reapply you should set out clearly how your application has changed. Essential criteria 1. Higher degree (MD, PhD