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Field
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environment Career guidance throughout the postdoctoral program and together with you we will prepare a career plan, which containsthe skills and knowledge you will acquire Open and inclusive working
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. This position is best suited for candidates with a strong background in computational material science. The role reports to Associate Professor Patrick Burr and has no direct reports. Salary (Level A) – AUD
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to translate across immune-refractory tumors--our program fuses immunocompetent mouse models, patient-derived organoids, single-cell / spatial multi-omics, and CRISPR-based functional genomics. You will drive
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Vision conferences, CVPR, ICCV, ECCV and peer reviewed journals. Minimum Qualifications: PhD in Computer Science or a related field obtained within the last five years. Strong skills in machine learning
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Language Sciences. The lab comprises of a team of researchers and PhD students led by Prof Ayelet N. Landau. We research the psychological and neural mechanisms of attention, time perception with a specific
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. Computational modeling in wastewater treatment processess. Qualifications Applicants to the PhD position must have a Master’s degree (120 ECTS) or equivalent higher education qualifications in Engineering
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for databehandling: Cloudflare - Personvernregler for databehandling Utløpsdato: Session Navn: _cfuvid Leverandør: .hsforms.com Databehandlingsansvarlig: Formål: Saves the selected language for the website. Utløpsdato
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is enrolled in USN’s PhD-program in PhD in Technology within three months of accession in the position. It may be possible to get a four-year full-time period consisting of 75 % PhD Research Fellow and
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premise for employment that the PhD Research Fellow is enrolled in USN’s PhD-program in PhD in Technology within three months of accession in the position. It may be possible to get a four-year full-time
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Language Processing (NLP) methods, with a special focus on generative Large Language Models (LLMs), to interrogate a very large sample of Electronic Health Records from people with epilepsy across multiple NHS