507 data-"https:"-"https:"-"https:"-"https:"-"UNIVERSITY-OF-RIJEKA" positions in Denmark
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paths at DTU here . Further information Further information may be obtained from Professor Julia Kirch Kirkegaard (jukk@dtu.dk ) and/or Section Head Tanja Schneider (tansch@dtu.dk ). You can read more
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are in part funded by a DFF: Sapere Aude project (“Building TRUST in Text: Linguistically Motivated Language Model Detection”) and an NNF: Ascending Data Science Investigator project (“LM2-SEC
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for the position in question is a broad ranging of techniques ranging from spatial and single-cell analyses to classic methods like histology cell culture and Western blotting. Data handling through bioinformatics
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requirements using pilot-scale or simulation data Publish high-impact research results and present findings at international conferences Contribute to proposal writing and joint projects with academic and
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processing historical data, and the tasks will be relevant to the your further course of study. We are looking for a student who: Has strong quantitative skills Is proficient in Excel, Stata, and either R
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The project may address national or international problems, and should do so using appropriate methods, qualitative and/or quantitative. Access to Danish data sources, such as registry data, respondents
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the form and attach your motivated application, CV and exam certificates. If you would like additional information about the position, please contact Alireza Dolatshahi-Pirouz (aldo@dtu.dk ). You can read
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. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education . We offer DTU is a leading technical university globally
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Lyngby Campus, Denmark, You can read more about career paths at DTU here . Further information Further information may be obtained from Professor Yi Sun ( suyi@dtu.dk ). You can read more about DTU
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algorithms and circuits to enhance imaging quality and speed Creating efficient data acquisition and processing workflows for large datasets of skin nanotexture images Optimizing hardware-software integration