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develop the research line. Colourbox via Unsplash Colourbox Qualifications You must have a relevant PhD, preferably within statistical genetics, ´omics, molecular biology, computer science, medicine
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, the individual will assist our research program, which examines the protein functions in neurons using Proteomics, AAV, and CRISPR genome editing approaches. Responsibilities will include assisting with primary
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Qualification requirements A master’s degree in a relevant discipline (e.g., statistics, mathematics, informatics, genetics, medicine, psychology, or an equivalent field). Strong expertise in statistical genetics
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agreed upon. Department of Computing Science The Department of Computing Science has been growing rapidly in recent years, with a focus on creating an inclusive and bottom-up driven research environment
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Postdoctoral Trainee you will beworking in our Pediatrics Department. Purpose A Predoctoral Research Scholar at MCW is an individual who has completed their PhD program and is waiting for their degree to be
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) for a full-time Postdoctoral Scholar position in the area of computer science education. WHAT MAKES GSU A GREAT PLACE? Flexible work environment. Generous benefits, including health, dental, vision
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) assess future changes in these patterns under different global warming scenarios. Requirements: The successful applicant should hold a MSc or PhD degree in physics, mathematics/statistics, climate science
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Chinese (Cantonese) and English, advanced knowledge and experience with statistical software (e.g., SPSS, R, Stata) and MS Office applications (including Word, Excel, PowerPoint etc.), and strong team work
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statistical analysis Competency in experimental design A strong desire to learn new techniques Should Have Either electrophysiology or imaging experience Skills Highly motivated Fluent in English Organizational
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solving skills and a strong publication record are a plus Proficiency in statistics used in the life sciences is desired Experience in computer programming would be a plus Preferred Special Knowledge