1,375 programming-"the"-"DAAD"-"U"-"IMPRS-ML"-"IMPRS-ML"-"UCL" positions at Nature Careers
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The University of Marburg, founded in 1527, offers a variety of excellent programs of study for around 22,000 students and confronts the important topics of our time through excellent research
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program focused on uncovering fundamental mechanisms and therapeutic vulnerabilities of cancer metastasis using the most sophisticated experimental or computational approaches. MET-X is a dynamic research
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position where the candidate is expected to run a cutting-edge basic or translational research program of relevance to Microbiology and Immunology. Particular areas of interest include, but are not limited
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Responsibilities: Evaluate data for quality assurance and mine relevant (e.g., bioinformatics, biomedical, cheminformatics) databases. Perform basic analysis, algorithm implementation, programming, and quality check
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to diverse personalities in the team! It is that easy to apply: With your scientific curriculum vitae / letter of intent With your summary of research interests With a plan for the completion of the doctorate
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: With your letter of intent and scientific curriculum vitae. With a plan for the completion of the doctorate. With a confirmation of enrolment in the doctoral programme/having passed the FÖP. Via our job
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programming or scripting (e.g., Python, Bash, or similar) for workflow automation and data analysis. Familiarity with common tools for structure-based molecular modeling or virtual Ability to think critically
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for the delivery of a regular programme of campaigns to inform and earn the loyalty of the editorships of externally run Springer Nature journals. Working with teams across Springer Nature, you will manage the
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of the world’s second largest extent of tropical forest, strengthen regional scientific capacity, and support sustainable development. The Science Plan focuses on studying the region’s climate, water, ecosystems
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research program spans several of these subdisciplines and/or are working with non-traditional experimental systems are encouraged to apply. Successful applicants are expected to develop innovative research