Thesis Work, 30 Credits - Real-Time Prediction of All Components in Pharmaceutical Formulations Using NIR and Raman Spectroscopy

Sweden - Gothenburgonsite

Posted today · via Workday

About this role

Are you interested in applying spectroscopy, chemometrics and process modelling to real-time pharmaceutical manufacturing? This interdisciplinary thesis project will investigate whether NIR and Raman spectroscopy can independently predict all active pharmaceutical ingredients and excipients in a formulation during continuous direct compression. About AstraZeneca: AstraZeneca is a global, science-led, patient-centred biopharmaceutical company focusing on discovering, developing, and commercialising prescription medicines for some of the world’s most serious diseases. But we’re more than a global leading pharmaceutical company. At AstraZeneca, we're dedicated to being a Great Place to Work and empowering employees to push the boundaries of science and fuel their entrepreneurial spirit.…

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1

Skills match

For this role: python, matlab, spring

2

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3

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4

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5

Location fit

This role is based in Sweden - Gothenburg. We weight your proximity and willingness to relocate.

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pythonmatlabspring

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