39 linked-data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"CSIC" Postdoctoral positions at University of Miami
Sort by
Refine Your Search
-
published manuscript in relevant field Knowledge, Skills and Attitudes: Skill in collecting, organizing, and analyzing data. Experience working with and supporting large-scale multidisciplinary projects
-
Department of Molecular & Cellular Pharmacology is an exciting and nurturing community for a full time Post Doctoral Associate performing scientific research and studies. Apply here: https://careers.miami.edu
-
necessary. CORE QUALIFICATIONS Education: Ph.D. in relevant field Experience: No prior experience required Knowledge, Skills and Attitudes: • Skill in collecting, organizing, and analyzing data
-
model data sets critical to our understanding of TC structure and intensity. The primary role of the incumbent will be to document, assess and quantify the impact of emerging technology data sets (e.g
-
to University and unit-level policies and procedures and safeguards University assets. Develop various machine learning and data mining models including deep convolutional neural networks (CNNs
-
applicable certification requirements Knowledge, Skills and Abilities: Knowledge, Skills and Attitudes: • Skill in collecting, organizing, and analyzing data. • Ability to recognize, analyze, and
-
data as well as proximity ligation data to inform DNA topology and super-enhancer interactions across the genome. Techniques to be used include: analysis of whole genome sequencing, DNA methylation
-
, life course methods, missing data methods) Prior experience working with longitudinal data preferred. Self-motivated to learn new concepts and epidemiological/statistical methods. Ability to self-learn
-
Cancer Initiative & Innovation Project Design and develop innovative biochemical detection assays to support research objectives. Conduct experimental studies and generate high-quality biological data
-
individual studies. 4. Acquires, processes, and analyzes respiratory, electrophysiological, imaging, anatomical, locomotor, and other behavioral data using appropriate computational and statistical