67 computer-"https:"-"UNIVERSITY-OF-BUCHAREST" Postdoctoral positions at Rutgers University
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interface of bioinformatics, microbiome ecology, and metabolomics, contributing to both computational analyses and laboratory workflows. This position offers the opportunity to lead integrative projects
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linguistic factors that affect human wayfinding. Working with the PI and co-PIs in computer science, psychology, applied math and architecture/design, the postdoctoral fellow will be intimately involved in all
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including strongly correlated fermion materials, high-temperature superconductivity, topological electronic states of matter, developments and applications of computational methods at the density-functional
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mammalian or microbial systems, preferred. Familiarity with computational analysis or coding (e.g., R, Python), preferred. Equipment Utilized Physical Demands and Work Environment PHYSICAL DEMANDS: Standing
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to oversee research activities outlined in NSF Grant 2520154 “Understanding Expectation-Driven Learning in Early Childhood: An Experimental and Computational Investigation,” under the supervision of Dr. Kimele
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. The training program is designed to impart the skills necessary for submitting successful career development awards. The emphasis on translational clinical research will require competitive applicants
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. More information about the lab can be obtained at https://deaconesculab.com Position Status Full Time Posting Number 25FA0742 Posting Open Date Posting Close Date Qualifications Minimum Education and
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of Neurosurgery is seeking a graduate of a MD or PhD program preferably with a background in basic sciences, particularly in skull-based Neurosurgery. This individual will work under the supervision of Dr Anil
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. Effective spoken and written English required. High level of computer literacy required. Experience in chromatography (including FPLC and preferably including HPLC) and electrophoresis required. Experience in
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required. High level of computer literacy required. Preferred Qualifications In-depth understanding and hands-on experience in RNA-seq and ChIP-seq sample preparation, data collection, and data processing