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Job Description The University of Southern Denmark in Odense is looking for a student in computer science / data science / mathematics or comparable fields to assist us in development work for our
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to assess and interpret data from experiments, with the ability to identify trends, troubleshoot issues, and optimize processes. Experience in critical evaluation and troubleshooting of both process
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as of that date be with a department Contact information For further information, please contact: Prof. Alfred Spormann, aspormann@inano.au.dk. Application procedure Short-listing is used. This means
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across career stages Starting date: April 1st 2026, or soon after Applicants seeking further information can contact: Professor Amelia-Elena Rotaru arotaruATbiology.sdu.dk . Who are we? The successful
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additional information about the position above, please contact Associate Professor Jan Żylicz, Jan.Zylicz@sund.ku.dk Qualifications A Master´s or Bachelor’s degree or equivalent in a biological sciences
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research sections with around 350 highly skilled employees, of which approximately 50% are scientific staff. More information can be found here . We believe in encouraging inclusion, acceptance, and
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channels to showcase success stories and opportunities. Team and administrative support: As part of the External Relations Team, contribute to shared tasks such as onboarding new staff, cost modelling, data
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metabolic data and correlate NMR readouts with physiological function. Preferred Qualifications: PhD in Bioengineering, Chemistry, Biophysics, or a related field. Extensive hands-on experience with organ-on-a
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candidate is expected to hold: A master degree in biomedical engineering or computer science, Excellent programming skills (Python). Experience with data curation, large-scale datasets, and machine learning
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properties through computer simulations. The project also includes validation of materials in the lab and translating the findings into practical recommendations for use in real power-electronics environments