230 programming-"the"-"DAAD"-"U"-"Prof"-"IMPRS-ML"-"O.P"-"UCL"-"https:" "DIFFER" Fellowship positions
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representation with deep-learnt visual features, toward machine uses. To investigate feature-level just-noticeable difference modelling for machines to facilitate assessment and optimization. To formulate a
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. The successful candidate will work part time as clinical research fellow supporting Professor Clark in his NIHR funded research programme on rapid diagnostic tests. The University of Southampton, Faculty
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Institute of City of Hope, where we're changing lives and making a real difference in the fight against cancer, diabetes, and other life-threatening illnesses. Our dedicated and compassionate faculty and
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. The successful candidate will work part time as clinical research fellow supporting Professor Clark in his NIHR funded research programme on rapid diagnostic tests. The University of Southampton, Faculty
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will have specific responsibility for research and for developing research objectives and proposals on behalf of the Digital Cancer Screening Research Group. The role holder will be expected to plan and
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Job Description Job Alerts Link Apply now Job Title: Research Fellow (OR/EID/DAAR) Posting Start Date: 06/10/2025 Job Description: Job Description The Signature Research Programme in Emerging
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are guaranteed and reasonably priced relocation programme Diversity Diversity is a resource in the working and learning environment at UiS. When we have different backgrounds and experiences, we can approach
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Service (ARS) in Maricopa, Arizona seeks applications for a Post-Doctoral Fellow to investigate turfgrass agronomy, physiology, and genetics of different turfgrass species for improved drought, heat and
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capacity around Water and Sanitation in low- and middle-income settings across Southeast Asia. This position offers a unique opportunity to contribute to field-based public health research and program
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design: difference-in-differences and fixed effects models, instrumental variables, treatment selection, power analysis, analysis of attrition and non-compliance, analysis of heterogenous effects and