492 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Ulster-University" positions in Denmark
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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
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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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is a lively and research-oriented group of scientists and support staff with a broad interest in information processing in humans and computers, and a particular focus on the signals they exchange, 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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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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online application no later than 15 March 2026. Open the “Apply now” link, fill out the form and attach your motivated application, CV and exam certificates. If you would like additional information about
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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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will find contact persons at the bottom of the jobpost. Further information Read more about our recruitment process here The appointment process at Aalborg University involves a shortlisting process. You
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Electrophysiological characterization of muscle fiber excitability (in collaboration with the research group) In vivo studies using animal models of neuromuscular disease Integration of molecular and transcriptomic data