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the role Overview of the role We are seeking a highly motivated Research Fellow in Machine Learning to join the PharosAI team, focusing on developing novel machine learning methods in computer vision
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) modeling, computational oncology/biology, kinetic modeling, advanced image processing. The candidate should be highly motivated with a strong interest and commitment to research. Curiosity and creativity
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. Prior experience in at least one of the following is a requirement: physiologically based pharmacokinetic (PBPK) modeling, computational oncology/biology, kinetic modeling, advanced image processing
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: physiologically based pharmacokinetic (PBPK) modeling, computational oncology/biology, kinetic modeling, advanced image processing. The candidate should be highly motivated with a strong interest and commitment
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attach your CV (including a list of two referees), a statement of research interests and achievements. Essential A PhD in plant and/or microbial community ecology or a related discipline and relevant
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Stig Brøndbo 10th June 2025 Languages English English English Faculty of Science and Technology PhD Fellow in sea ice remote sensing research Apply for this job See advertisement The position A
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hands-on experience with advanced techniques, including patch clamp, optogenetics, fluorescence imaging, auditory brainstem response (ABR), stereotaxic surgery, RNA-seq, and computational modeling
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(MDres or PhD). Responsibilities The successful applicants will undertake research, under the supervision of Dr Gherardo Finocchiaro, Prof Sanjay Sharma and Prof Michael Papadakis in inherited cardiac
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, re-apply if you significantly improve crucial aspects of the rejected application. The selection procedure Icon Applicants Applicants Icon Foundation Foundation Icon Notification Notification
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, biomedical, chemical, environmental and geoscience disciplines. How to apply: To be considered for this position, applicants must address the selection criteria below and attach your CV (including a list of