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biology, and biochemistry. Plan, conduct, and contribute to experimental work. Identify and develop relevant methods for data collection, analysis, and interpretation. Develop expertise across scientific
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hepatitis C virus (HCV)) among migrants to high-income countries through systematic review and, if appropriate, meta-analysis; • building on previous work linking administrative immigration data with
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transport to Wettzell, installation, optimisation, operation, enhancement, measurement campaigns during the ACES mission, data analysis. The scientist will also contribute to enhance the performance of and
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analysis for automation (previous experience is not required but beneficial). A proactive and independent work ethic. Excellent proficiency in English (both written and spoken). Your responsibilities Develop
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is close. Our cohesive campuses make it easy to meet, work together and exchange knowledge, which promotes a dynamic and open culture. The ongoing societal transformation and large green investments in
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, there is a wide range of world-class facilities available for a plethora of analysis methods. The MPI offers programs for balancing work and family life as well as further training opportunities and free in
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or infrastructure. This is what makes our daily work so meaningful and exciting. The Division of Computational Genomics and Systems Genetics is seeking from October 2025 a PhD Student in Deep Learning for Rare
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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | 2 months ago
analysis of the structure and dynamics of macromolecules at the nanometer scale. This includes experiments at 1-nm resolution and with Angström measurement precision. The successful candidate will work
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part of the scholarship. Scholarship Details Maximum number awarded 1 Eligible courses Any HDR student wishing to study in the Health field Eligibility criteria Full-time enrolment in a PhD program at
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, precise and is pathogen agnostic, you don’t need prior knowledge of which pathogen is causing the infection to use it as a diagnostic. Challenges remain however in standardisation, application and