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set out in Article 328 of the Act of 20 July 2018 Law on Higher Education and Science (Journal of Laws of 2024, item 1571 ; Polish: Dz. U. z 2024 poz. 1571 t.j.); Information on the Applicant’s research
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training and guidance to junior undergraduate and graduate students. Education: A PhD in Neuroscience, Computational Neuroscience, Machine Learning in image analysis, or a related field, with significant
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contribution to society. Required Qualifications* PhD in computer science, computational biology, or related quantitative fields. Strong oral and written communication skills Desired Qualifications* Generative
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Previous Job Job Title Researcher 5 - Soil Science Next Job Apply for Job Job ID 369703 Location Twin Cities Job Family Research Full/Part Time Full-Time Regular/Temporary Regular Job Code 9791SS
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various lab materials to ensure efficient functioning of the lab. Qualifications Essential Qualifications: PhD in biology, genetics, cell/molecular biology, biochemistry, or related fields is required. Pay
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work on both probabilistic modeling, software development, and cancer biology analysis for this position. PhD in computer science, computational biology, or related quantitative field. Strong oral and
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, advancing DEI, etc. Qualifications Required Qualifications: PhD in molecular biology, microbiology, mycology, biogeochemistry, or equivalent Microbial genomics, transcriptomics, or proteomics expertise Some
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programme for educators. This project is funded by the Durham U niversity Research Impact Fund. The second project focuses on neurodiversity, mental health and the criminal justice system (PIs Professor
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. Required Qualifications* PhD in computer science, computational biology, or related quantitative field. Strong oral and written communication skills. Desired Qualifications* Computational biology experience
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Qualifications* PhD Degree in Engineering, Computer Science, Data Science, Applied Mathematics, Statistics, or a related field Familiarity with (biomedical) signal processing Experience working with clinical data