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Field
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10 Apr 2024 Job Information Organisation/Company Deutsches Krebsforschungszentrum Research Field Medical sciences Researcher Profile First Stage Researcher (R1) Country Germany Application Deadline
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30 Apr 2024 Job Information Organisation/Company Heidelberg University Research Field All Researcher Profile First Stage Researcher (R1) Country Germany Application Deadline 6 May 2024 - 00:00 (Africa/Abidjan) Type of Contract Not Applicable Job Status Not Applicable Is the job funded through...
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13 May 2024 Job Information Organisation/Company Deutsches Zentrum für Neurodegenerative Erkrankungen e. V. (DZNE) Research Field Biological sciences Researcher Profile First Stage Researcher (R1
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19.04.2024, Wissenschaftliches Personal The Professorship of Machine Learning at the Department of Computer Engineering at TUM has open positions for a doctoral researcher (TV-L E13 100%, 3-4 years
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; German Cancer Research Center (DKFZ) | Heidelberg, Baden W rttemberg | Germany | about 2 months ago
holding a Master’s degree in (molecular) biology, (bio-)chemistry, (bio-)physics, computational biology, computer science, epidemiology/public health studies and related subjects to apply
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Violence against Women in India (ECOVI)”. This position: The Professorship for Global Health is situated at the TUM School of Social Sciences and Technology (Department of Governance) at the Technical
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International Max Planck Research School for Translational Psychiatry (IMPRS-TP) | Germany | 3 months ago
11 Mar 2024 Job Information Organisation/Company International Max Planck Research School for Translational Psychiatry (IMPRS-TP) Research Field Neurosciences Medical sciences » Other Psychological
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2 May 2024 Job Information Organisation/Company Climate-Sensitive Infectious Diseases lab Research Field Computer science » Other Researcher Profile First Stage Researcher (R1) Country Germany
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publications Your profile Master’s degree in evolutionary biology (ideally in entomology) strong interest in entomology and systematics a background in phylogenomics (preferentially anchored hybrid enrichment
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Profile: Master’s degree in Life Science, Data Science, or Public Health, preferably with cross-disciplinary experience in at least two of them Proven ability to use R or Python Experience in time-series