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support throughout your time at our Center. We look for… • a team player with completed (or nearly completed) doctoral degree (PhD or equivalent) in management, organizational psychology, sociology
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of molecular, histopathological and clinical data in the world. We are seeking a highly motivated Postdoctoral Researcher with expertise in large-scale omics data analysis to establish an innovative multi-omics
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) • experience working in a museum environment • experience studying large archaeological assemblages • organisational skills For further information, please contact Dr. Anna Hodgkinson (a.hodgkinson@fu-berlin.de
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. For further information or to submit your application please contact Prof. Nicholas Conard, PhD: nicholas.conardspam prevention@uni-tuebingen.de , and Dr. Samantha Brown: samantha.brownspam prevention@uni
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molecular data Your profile PhD in computer science, mathematics, physics or related fields Experience in machine learning and AI, with proven codebase in public repositories Experience or strong willingness
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and brain health, primarily leveraging the rich data from the Rhineland Study and other large scale cohort studies. In addition to contributing to ongoing projects, you will develop your own research
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expertise and achieve optimal results. Your Profile A PhD in Bioinformatics, Computational Biology, or a related field. Proven experience in large-scale omics data analysis, preferably MS-based proteomics
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to analyze large-scale proteomic datasets. Implement machine learning models to predict phenotypic outcomes from proteomic and related omics data. Collaborate closely with experimental and computational
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Leibniz Institute of Freshwater Ecology and Inland Fisheries (IGB) | Stechlin, Brandenburg | Germany | 3 months ago
? We look forward to receiving your application including a cover letter that details your motivation to study for a PhD and your fit to the profile, a CV, and contact information for 2-3 references in a
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, survey) or applied microeconometrics, and applied economics. You have experience with big data and machine learning methods? This would be a particular asset! With excellent English language skills, both