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Field
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preferences, your work may focus on the theoretical foundations of queries and mappings in this context (e.g., formal results on fundamental properties of relevant languages) or on developing, implementing, and
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protocols to generate diverse cardiovascular cell types from iPSCs, enabling advanced cardiovascular disease modeling and cell therapy applications (Nature Cardiovascular Research 2023; Circulation 2023
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-negative pathogens by introducing new modifications to the natural product Pleuromutilin. This will involve semi-synthetic approaches to generate derivatives with improved activity and decreased resistance
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, or other relevant languages. Familiarity with frameworks for studying race, racism, and health disparities. Experience developing reproducible pipelines and working in high-performance computing environments
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courses to help you settle in. Application procedure The application should be written in English be attached as PDF-files, as below. Maximum size for each file is 40 MB. Please note that the system does
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at national and international conferences; other tasks assigned by the head of the unit resulting from the profile and nature of the unit and the university. Requirements for the candidate: at least a doctoral
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nostrification if the academic degree was obtained outside of the Republic of Croatia. The candidates whose mother tongue is not Croatian must also provide a proof of knowledge of the Croatian language (level C1
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11 37077 Göttingen Germany https://www.mpinat.mpg.de/grubmueller Social Media: CompBioPhys Information pursuant to Article 13 DS-GVO on the collection and processing of personal data during
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pillars such as Big Data Analytics and Management, Machine Learning and Optimization, AI for Data Science, Deep Learning, Generative Learning, Biometrics Processing, Natural Language Processing, Computer
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scientists, and machine learning experts will be an essential and enriching component of the position. Strong candidates will have a background in machine learning and natural language processing (NLP), with a