Sort by
Refine Your Search
-
, particularly in data analysis Experience with statistical analysis (e.g., SPSS, MATLAB) and programming (e.g., R, MATLAB, Python) Experience with fMRI data collection and analysis (e.g., FSL, SPM) Required
-
. Required Qualifications: A doctoral degree (PhD, MD, or equivalent) conferred by the start date. Proficiency in R/Python Experience with scRNAseq, and/or spatial proteomic/transcriptomic data analysis Growth
-
. Proficiency in programming (e.g., Python, R) and familiarity with common bioinformatics tools and packages. A PhD in developmental biology, cell biology, regenerative medicine, or a related field. A required
-
technical skills in statistics, data science and psychometrics Experience with open-source software development (or high proficiency) in R or Python Domain knowledge in reading development, dyslexia research
-
knowledge in bioinformatics, machine learning, statistics and programming skills (R, Python, or MATLAB) are required. Record of peer-reviewed publications. Knowledge in one or more of the following areas is
-
, proficiency in R and at least one additional scripting language (e.g., Python) and knowledge in biostatistics are required. Experience working with genetic association studies, immune repertoire, single cell
-
model APIs, cloud computing environments, and R for additional statistical analysis. For decision support prototype development and evaluation, web-based user interface design, human-computer interaction
-
. Candidates should also demonstrate strong skills in Python (for ML/NLP tasks) and R (for statistical modeling or data analysis), as both will be actively used in the research workflow. Importantly
-
preferred. Profound experience in statistical and computational approaches. Proficiency in scientific programming (e.g., R or Python) and scripting in research environments is required. Substantial experience
-
data using econometric techniques; designing and implementing randomized controlled trials. Experience in quantitative methods including prior coding experience (e.g., in STATA or R) and/or in