828 data "https:" "https:" "https:" "https:" "University of Minho" positions at Harvard University
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
The Walsh lab is seeking a Fellow to assist with data collection and processing for lab and field based studies of wearable robots. The Fellow should be a collaborative problem solver who is proficient
-
, continuity planning, and operational implementation for new policies and procedures. Provide data-informed insights and reports to the HILR Director/Assistant Dean related to enrollment, admissions patterns
-
with recordkeeping and retention policies. Helps identify and resolve discrepancies, errors, or incomplete information, and prepares correcting entries or journals under supervision. Coordination and
-
collaborative research on the impact of digital technologies (e.g., AI, data visualization, immersive media, biofeedback systems) on art education, museum practice, and cultural storytelling. Contribute
-
, flexibility, and creative problem-solving are essential. Strong computer skills, including proficiency in Excel, and ability to quickly learn new technology. Additional Information Standard Hours/Schedule: 40
-
. Additional Qualifications Special Instructions Letters of recommendation are required at the time of application. Candidates should submit with their application contact information for two to three references
-
of application. Candidates should submit with their application contact information for two to three references from experts at the ladder faculty ranks or highly accomplished senior researchers from
-
. For more information, visit our lab website at janetsonglab.com. Basic Qualifications PhD in a relevant field, or have completed all requirements for the PhD by the anticipated start date. Additional
-
flexible measurement tools and will use advanced knowledge of quantitative research methodologies and data science techniques to manage, extrapolate, and analyze research data. The ideal candidate has a
-
trial and observational study review, design and review of data collection forms and stratification/randomization of studies; statistical programming; data analysis and monitoring; and report writing