-
the lab as well as other laboratories involved in team science Conduct literature searches Modify, test, verify and analyze research data Present results at lab meetings Present results at project meetings
-
microenvironment. Implementation of schedule methodology, timeline and lab book Collecting, recording, analyzing, and presenting data Preparation of project reports and manuscripts for publication Meeting with
-
to disentangle co-occurring conditions using multi-omics data in Down syndrome. The position will be jointly mentored by Dr. Casey Greene in the Department of Biomedical Informatics and is funded by the NIH
-
supervision from Dr. Brice McConnell, Dr. Ashis Biswas, and Dr. Nicholas Dwork. Professional Field: Machine Learning & Data Science Biomedical Sciences & Neuroscience Computational Biology & Bioinformatics Key
-
at the time of hire. PhD in Computer Science, Artificial Intelligence, Computational Linguistics, Machine learning, Computer Engineering or related fields Preferred Qualifications: Experience in developing and
-
biology and in vivo modeling. Knowledge, Skills and Abilities: Proficiency with flow cytometry Excellent communication skills. Excellent writing skills Demonstrates the proficiency in computer software
-
integrate genomic data, microscopy data, and mouse behavioral data Present research findings in group meetings Publish research findings, assist with grant writing, and present work in conferences It is not
-
single-cell transcriptomic data. The candidate should be proficient in, or highly motivated to learn cancer data science, machine learning, and high throughput sequencing analysis. Successful applicants
-
Campus. The appointment will be for a two to three-year period. The main emphasis of this position will be working in the research areas of genomics, cancer biology, and patient-derived organoids
-
, including design of experimental setup, data generation, data interpretation, and manuscript writing, with the following key responsibilities: Wet lab responsibilities: Conducting molecular biology