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proteomics workflows Perform imaging and omics data analysis and data integration and validate key results using functional assays in cell culture and in patient-derived samples Plan and collaborate
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holder of the HR Excellence in Research Award by the European Commission, is a research-oriented faculty, offering university education (Bachelor’s, Master’s, and Doctoral degree programs) closely linked
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in relevant academic activities related to the preparation for a career in research or academia, participate in the University’s Individual Development Plan policy for postdoctoral scholars, have a PhD
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, experience with a variety of programming languages, and familiarity with critical path planning tools, are essential. A Ph.D. in engineering, operations research, computer science, or another related field is
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Sciences | Spanish and Portuguese The Sociolinguistics Lab of the Department of Spanish & Portuguese invites applications for a Post Doctoral Scholar position that will be based at the Department of Spanish
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contracting some products (health insurance, childcare, training, among others.) Training activities: languages, mentoring programme, wellbeing programme. International environment Estimated Incorporation date
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Strong background in scanning/transmission electron microscopy (S/TEM), particularly atomic-resolution imaging and spectroscopy techniques (EELS/EDS) Proficiency in programming languages such as Python, C
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. The department has overall responsibility for the Master's degree programs in medicine and in molecular medicine. At the department we are approx. 670 academic employees, 500 PhD students and 160 technical
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contribute to this important and exciting field of research. Position Requirements The primary role of the chosen candidates is to contribute to the expansion of research programs concerning all-solid-state
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communication and strong interpersonal skills. Proficient in at least either SAS or R. Experience with SQL, other statistical software, and programming languages is a bonus. Willingness to learn new statistical