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Field
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excellent track record for a grant application to the Fondation ARC (French Association for Cancer Research) postdoctoral fellowship 2026 autumn call. Deadline for receiving applications is April 1st 2026
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Research Assistant/Assistant Professor (Postdoctoral Researcher) for the project 2025/57/B/NZ8/03444
Offer Description A PhD degree in agricultural sciences, Earth and environmental sciences, engineering and technical sciences, or a related discipline, in particular in the fields of forestry
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Open Date 04/20/2026 Requisition Number PRN44776B Job Title Post Doc Res Assoc w/Ret Working Title Post Doc Res Assoc w/Ret Career Progression Track A00 Track Level FLSA Code Administrative Patient
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strategic priorities. In your application, please provide a statement systematically addressing each of the selection criteria below . About you Completed PhD or near completion (within 6 months) in
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preferred but not essential. Skills in molecular and cellular biology, immunology, and animal studies are required. Excellent written and verbal communication. Minimum Qualifications PhD in biology or
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timelines. Participate in scheduled reviews to evaluate IDP progress including career development, career planning, and career readiness for a future tenure track faculty position. Qualifications and
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Neurotech / Merge Labs (USA), including Dr Sumner Norman and Dr Tyson Aflal Interviews are scheduled for May 2026. Essential Requirements Qualifications PhD (or equivalent international qualification) in
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-conjuntaabril2026n… Requirements Research FieldEnvironmental scienceEducation LevelPhD or equivalent Skills/Qualifications - A PhD in the social sciences or socio-environmental sciences, including Geography
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hold a PhD in computational science, physics, applied mathematics, bioinformatics, structural biology, or a related field. You have strong computational and programming skills (e.g. Python, Julia, C
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prediction, uncertainty, and learning in real-world stimuli and track how they are encoded in neural data Develop tools to be used in audiological clinical to diagnose patients based on naturalistic