Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
Must know methods of food preparation, cooking times, and portion sizes to ensure food is prepared in prescribed manner Evaluates food quality and preparedness by tasting Cuts, trims, bones, and carves
-
at the Faculty of Life Sciences seeks to appoint a pre-doctoral researcher with expertise in archaeology/archaeological science and to work with Associate Professor Katerina Douka (https://doukalab.univie.ac.at
-
. Perform ESRs using the Excyte 20. MLSs who are specially trained and licensed may be asked to perform other more specialized Hematology testing (i.e., assist with the acquisition and processing of Bone
-
, os resultados obtidos em cada uma das fases e a lista de ordenação final dos candidatos que completem o procedimento são publicitados no portal da Universidade de Lisboa em, https://www.ulisboa.pt 8.2
-
opportunity to participate in another subspecialty such as bone and soft tissue pathology. Educational opportunities include teaching within the medical school and within an ACGME-accredited AP/CP residency
-
Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | 3 months ago
for osteosarcoma (OS) is hindered by limited knowledge of its biology and the lack of biologically relevant tools to test the efficacy of new approaches. This project aims to develop advanced 3D in vitro models and
-
Level 12 Salary Range $30.00-53.67/hour Type of Position Staff Position Time Status Full-Time Required Education BS Click here for more information about equivalencies: https://hr.uky.edu/employment
-
Anthropology at the Faculty of Life Sciences seeks to appoint a pre-doctoral researcher with expertise in archaeology/archaeological science and to work with Associate Professor Katerina Douka (https
-
automation. Windows and macOS client management concepts and best practices. Database management (MS SQL, MySQL, SQL). Utilization of tools, utilities, and scripting for software packaging, OS deployment, and
-
Master's degree (or equivalent) A minimum of 3-4 years of experience working with data pipelines and data analysis. Proficiency in Python and R. Experience working in Unix OS and remote computing clusters