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Medical School invites applications from outstanding candidates to join a talented team of data analysts, methodologists and biostatisticians supporting cutting-edge research in a world-class academic
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. For more information see: http://www.mn.uio.no/english/research/phd/ All candidates and projects will have to undergo a check versus national export, sanctions and security regulations. Candidates may
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without the need for future visa sponsorship. Purpose The Postdoctoral Fellow will work collaboratively with investigators in the Heart Center to generate analyzable clinical data to better understand and
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interviews, analyse complex data, disseminate findings to a range of different audiences, develop own research objectives, identify sources of funding SRF: As above with additional responsibilities
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and chemoproteomics studies Help develop and apply biochemical, biophysical, and metabolic stability assays Screen compounds; analyze and interpret data Apply data to the iterative design of optimized
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data (e.g. DFT, MP2) and experimental data into AI-driven pipelines for structure–property learning and reactivity prediction. Applying AI models to real-world problems in virtual screening, ligand
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excellence. This is a research focused position. Further information can be found by viewing UQ’s Criteria for Academic Performance . About UQ As part of the UQ community, you will have the opportunity to work
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will work closely with the Principal Investigator (PI), Co-PI, and the research team to develop deep learning-based computer vision algorithms and software for object detection, classification, and
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training leading to the successful completion of a PhD degree. For more information see: http://www.mn.uio.no/english/research/phd/ All candidates and projects will have to undergo a check versus national
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and technological disclosures writing. Job Requirements: PhD in Computer science, Computer engineering, or related field. Experience in privacy-preserving techniques’ research and implementation. Strong