522 data-"https:"-"https:"-"https:"-"https:"-"Edinburgh-Napier-University" positions in Denmark
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supportive measures and activities for student life Your profile: Proficient in English, ideally in Danish and German Outgoing and conversational Highly organized Contact information For more information about
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agreed upon with the relevant union. The period of employment is 2 years. You can read more about career paths at DTU here . Further information Further information may be obtained from Antonio Grimalt
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). Incorporate realistic WGS data analysis, antimicrobial susceptibility testing, and epidemiological trace-back into interactive scenarios. Create scoring systems, feedback mechanisms, and learning outcomes
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studies and are flexible around your working days. Contact: For further information about the position, please contact Krzysztof Sierszecki at email: krzys(snabel-a)mmmi.sdu.dk . Important information
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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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comprehensive training in translational liver research, including data analysis, experimental design, and scientific dissemination. Qualifications We are looking for a highly motivated PhD candidate with a strong
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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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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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Faculty position in Molecular Health (Tenure-Track Assistant Professor / Associate Professor) at ...
employment is Aarhus University with related departments. Contact information For further information, please contact: Head of Department, Claus Oxvig. Phone number: +45 30362460 Email: co@mbg.au.dk Deadline
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description You will be contributing to developing and implementing novel algorithms at the intersection of computational physics and machine learning for the data-driven discovery of physical models. You will