-
productivity from previous training • Excellent oral and written communication skills are mandatory • Expert knowledge in scientific computing, including fluency in MATLAB and Python • Advanced skills with Linux
-
Python and GEE for geospatial analysis and data science. Experience with machine learning/deep learning frameworks (e.g., PyTorch, TensorFlow) applied to image or geospatial data. A track record of first
-
written communication skills, be strongly motivated, and work well independently as well as in a team setting. Experience with computer programming is a plus (MATLAB, Python, and/or E-Prime). Special
-
, biostatistics, biomedical informatics or related fields OR a PhD degree in biology or related fields. Preferred Qualifications: A strong background in programming (e.g., Python or R or C++) is essential. Research
-
or organoids. Basic bioinformatic knowledge (R/Python) or ability to learn. Excellent oral communication and written skills in English, with good organization, attention to detail, and analytical abilities
-
/Python Prior experience in genetic or genomic data analysis Special Instructions to Applicants: To be considered, applicants must upload a CV, a letter of intent, including a brief summary of past and
-
, pharmacology, engineering, bioinformatics, or a related field. Preferred: Prior pharmacokinetic modeling or machine learning experience using software such as R, Python, MATLAB, GastroPlus, PK-Sim, Phoenix
-
plus Expertise in programming (C++ and Python) Special Instructions to Applicants: For full consideration, applications must be submitted online. Click on Apply Now at the top of this posting. A complete
-
, Freesurfer, UNIX/LINUX computational environments and/or programming skills (MATLAB, R, C++; JAVA, Python) is desirable, but not required. Applicants who have experience in the study of children (especially