51 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"embl" Fellowship positions at University of Copenhagen
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We are offering a three-year PhD fellowship in pharmaceutical data science focusing on database design for amorphous pharmaceuticals commencing 15 November 2026 or as soon as possible thereafter
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We are offering a three-year PhD fellowship in computational pharmacology and pharmaceutical data science commencing 15 October 2026 or as soon as possible thereafter. Our group and research The
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student is expected to develop and apply methods for causal inference will be part of the SMARTbiomed Pioneer centre https://SMARTbiomed.dk/about-SMARTbiomed. Project Description The PhD project will
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the investigation of colloids and interfaces in food science and pharmacy ( https://pharmacy.ku.dk/research/caiff/ ). Expected start date is 1 January 2027 or as soon as possible thereafter. The
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found at: https://ivh.ku.dk/english/ . Project description The PhD student will be responsible for developing a PhD study which is based on activities in the above-mentioned projects and monitoring of
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clinical and social pharmacy. Information about the Department can be found at https://pharmacy.ku.dk/ Job description Your key tasks as a PhD student at the Faculty of Health and Medical Sciences are
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nanofabrication, low-temperature measurements using a cryofree dilution refrigerator, low-noise and high frequency electrical measurement techniques, data analysis, and close collaboration with theoretical
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Support at Animal and Herd Level commencing 1 January 2027 or as soon as possible hereafter. Our group and research The hired PhD student will join the research group Data & Modelling which currently
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, qPCR, ELISA) You have an interest in bioinformatics (R) and can actively perform omics-analyses You have experience with data visualization and analysis software including GraphPad Prism, and
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-supervised machine learning methods for biological data where reliable labels are scarce, expensive, or impossible to obtain. The aim is to train models on synthetic data generated by biophysical