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Field
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FieldPhysicsEducation LevelPhD or equivalent LanguagesFRENCHLevelBasic Research FieldPhysicsYears of Research Experience1 - 4 Additional Information Eligibility criteria Requirements: - PhD in (theoretical) physics
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, heavily relying on clinician expertise. This project funded by the Hanarth fund combines ultrasound imaging with histopathology data to train advanced AI models for automatic tumor segmentation, enabling
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- commensurate with experience Type of Position Temporary Position Time Status Full-Time Required Education PhD or terminal degree in a related field. Required Related Experience Experience performing experiments
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are encouraged to apply. Where to apply Website https://www.academictransfer.com/en/jobs/354423/postdoc-project-in-vitro-models… Requirements Specific Requirements Qualifications: PhD degree in neuroscience
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2 Sep 2025 Job Information Organisation/Company MOHAMMED VI POLYTECHNIC UNIVERSITY Research Field Biological sciences Researcher Profile Recognised Researcher (R2) Established Researcher (R3
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, Organization of field trips, data collection and lab work, Spectral data analysis, data processing, and model development, R’ or Python programming, Co-supervise PhD and undergraduate students. Be willing to be
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Denmark (SDU). The position is in an exciting 6-year project supported by the Challenge Programme of the Novo Nordisk Foundation: “Mathematical Modelling for Microbial Community Induced Metabolic Diseases
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Description The person hired for this position will work within the context of the French Océan et Climat program, particularly in the AI data challenges part of the project https://www.ocean-climat.fr/Le-PPR
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the positions are filled. To be considered, all applicants must submit Cover letter Curriculum vitae with full publication list BSc, MSc and PhD transcripts Research statement Contact details of at least three
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for 60 heaps. Linking them with ground-based data will allow to develop models revealing variability of ecosystem functions and biodiversity within spoil heaps, as well as along successional gradients