88 computer-programmer-"St"-"Washington-University-in-St"-"St" Fellowship positions at Nature Careers
Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
expected to plan appropriately for their own future career development, which may include networking and submitting funding applications. This is a fixed term post of up to 20-months duration. Main Duties
-
tradition, we are particularly interested in supporting future principal investigators who have the potential to establish a ground-breaking research program in their chosen field. Previous Rowland Fellows
-
Hospital are seeking a highly motivated postdoctoral fellow with a passion for computational biology and genomics. The postdoc candidate will be jointly mentored by Drs. Khoshkhoo and Huang. The position
-
* Contribute to the supervision of PhD students and junior researchers Your Profile: * PhD in Bioinformatics, Computational Biology, Systems Biology, Biostatistics, or a related field – (Doctoral degree should
-
; perform downstream bioinformatic analysis using appropriate tools (e.g., Seurat, Scanpy, Cell Ranger). • Analyze whole genome sequencing data sets • Collaborate with clinicians, computational biologists
-
opportunities. Promotes equality and values diversity acting as a role model and fostering an inclusive working culture. Research and Dissemination: Propose, plan, and execute research, knowledge and technology
-
technical expertise but must also contain a well-defined training element and a qualification plan must be established for the scholarship period. Biostatistical competence and experience in working with
-
instance. Further funding to support the post may be available. About you Applicants must have a rigorous foundation in heat transport phenomena, proven proficiency in computational fluid dynamics (CFD
-
Wellbeing Across Lifespan (SWAN) brings together expertise from the fields of medicine, life sciences, social sciences as well as computer and computational sciences to promote scientific and societal impact
-
pipelines, proficiency in genomic association analyses, particularly involving large-scale datasets, and familiarity with cloud computing and/or high-performance computing (HPC) environments