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of Aboriginal and Torres Strait Islander People , women , people living with a disability, people from culturally and linguistically diverse backgrounds , and those who identify as LGBTIQ . We welcome
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multimodal vision-language models for prompt-based 3D medical image segmentation Work with large-scale clinical CT datasets and scalable deep learning pipelines Validate models in close collaboration with
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on research pertinent to the project. By scaling up data, compute and model size, large language models (LLMs) have gained an impressive and ever growing array of capabilities. The next phase of development
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in addition to English. We welcome candidates who have experience with HSI/MSIs and/or who speak Spanish, Vietnamese, American Sign Language, Chinese (Cantonese, Mandarin and other variations), Arabic
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modeling, including the building of neurobiological models with drug-relevant targets and clinically relevant outcomes. * Track record (GitHub) demonstrating proficiency in the Julia programming language
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of the relevant Middle Eastern language (Arabic/Turkish/Hebrew) Fluency in English (both spoken and written) Passive knowledge of French (or another major European language) is an advantage A degree in the relevant
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: Publications and conference presentations in the field of auditory perception or a closely related area. Clinical audiology qualification (AuD) Required Qualifications: PhD in Speech-Language-Hearing Sciences
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language at a level that allows for effective preparation of grant documentation, including drafting project reports, verifying reports submitted by other project team members, and supporting
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. Experience with multivariate analysis methods. Proficiency in programming (any language). A strong research track record including publications and presentations. Communication & Collaboration Excellent
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research article under minimal guidance. Finnish language is not required, either for this position or for the daily life in Finland. What we offer We offer a diverse, international, and open research