Sort by
Refine Your Search
-
Listed
-
Country
-
Field
-
research staff, PhD students, or postdocs Providing guidance, training, and technical support to others in the research team Ensuring compliance with research ethics, safety regulations, and institutional
-
and advanced attendees Schedule Flexibility with work schedule Compensation Grade LOA https://www.unr.edu/hr/compensation-evaluation/salary-schedules/loa-and-postdoc Exempt Yes Full-Time Equivalent 0.0
-
data-driven methods relying on machine learning, artificial intelligence, or other computational techniques. The applicant is expected to develop and apply data-driven and machine learning-based methods
-
, engineering, physics, biophysics, applied mathematics, computational biology or a related quantitative field Strong background in deep learning for image analysis / computer vision, ideally on microscopy time
-
assimilation, machine learning, and optimization techniques. Experience in student mentoring. Publications in leading journals within the field. Preferred Qualifications PhD in Environmental Modeling. More than
-
to detail. Proactive and self-motivated mindset with an eagerness to learn and grow Excellent computer skills with demonstrated proficiency in Microsoft Office Suite. Please include a cover letter detailing
-
and resistance. Through close collaboration between laboratory and clinical teams, our work bridges mechanistic immunology with real-world patient outcomes. To learn more about Hosoya Lab - https
-
majors combined with other majors, and over 100 PhD students. The College of Science and Physics Department are in a vibrant expansion phase. The Department of Electrical and Computer Engineering (https
-
University community. Please visit their website to learn more. Special Instructions to Applicants provide 3 references Quick Link for Internal Postings https://www.auemployment.com/postings/44281
-
, machine learning model applications, and real-time applications Opportunities to learn more about systems neuroscience and neuroengineering One on one mentorship with graduate students and postdocs