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Field
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data analysis for metal additive manufacturing (AM). UDRI is a national leader in scientific and engineering research, serving government, industry and nonprofit customers. This is a full time benefit
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each instrument without error by completing a certification process. Administer assessments to preschool children. Daily review of data for recording accuracy. Performing other research-related
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each instrument without error by completing a certification process. Administer assessments to preschool children. Daily review of data for recording accuracy. Performing other research-related
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in an environment dedicated to advancing biomedical science. The department has numerous trainees including postdoctoral fellows, students earning DO/PhD, PhD and MS degrees. The trainees and faculty
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. Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants . JOB DESCRIPTION AND POSITION
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experience meet the minimum and preferred qualifications for the position. 3. A short (200 word) writing sample. 4. Three (3) professional references with contact information. References will not be contacted
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of this position will include publishing data from a recently completed NIH-funded study of the context and behaviors within incidents of family aggression and violence, and assisting with grant writing activities
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. The applicant will be expected to recruit graduate students (from the interdisciplinary Genome Science and Technology Program) by year 3. A competitive startup package including support for PhD students and
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of professionals. Duties to include: Support electrospinning research in the lab of two PhD students, by generating fibers, modifying the spinner platform and performing mechanical testing Performs data collection
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of professionals. Duties to include: Support electrospinning research in the lab of two PhD students, by generating fibers, modifying the spinner platform and performing mechanical testing Performs data collection