Sort by
Refine Your Search
-
Listed
-
Country
-
Field
-
A data science postdoctoral research associate position is available in the lab of Dr. Christian Meyer Ideal candidates will have: • A Ph.D. in bioinformatics, computational biology, mathematics
-
Position Description The laboratory of Professor Fei Li in the Department of Biology at New York University (NYU) is seeking a highly motivated postdoctoral scientist with an interest in chromatin
-
data Strong analytical, problem-solving and communication skills Ability to work successfully both independently in a multidisciplinary team of biologists, physicists, and computer scientists Excellent
-
biology and research interest in immunology and oncology independent worker open to adapt and develop novel technologies and methodologies knowledge in bioinformatics and data analysis and system biololgy
-
Postdoctoral Researcher (Physicist, Chemist or Material Scientist( (all genders) for a Tenure Tra...
, Chemist or Material Scientist) (all genders) for a Tenure Track Position Posting ID: 25.89-6260 The Target Laboratory is one of the scientific-technical infrastructure departments of GSI and FAIR and a
-
, immunofluorescence on tissue sections from staged mouse embryos, as well as single cell RNA-sequencing and ATAC-sequencing with data analysis. Lab website: For more details on our lab and research please visit: https
-
equipment and technologies at IBS centers nationwide - Career development: Opportunities for independent research and leadership development including IBS Young Scientist Fellowship for independent
-
opportunity employer, the Leibniz-HKI is committed to increasing the percentage of female scientists and, therefore, especially encourages them to apply. Further information: Please contact Prof. Dr. Gianni
-
For our location in Hamburg we are seeking: Scientist as postdoctoral researcher for the project COMFORT Limited: 30.09.2027 | Start: earliest possible | ID: FSMA020/2025 | Deadline: 14.08.2025
-
available single-cell sequencing data generated from patient samples and mouse models, we will enhance and apply machine-learning based algorithms to deconvolute bulk tumor RNA-seq samples to distinct immune