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Max Planck Institute for Social Anthropology, Halle (Saale) | Halle, Sachsen Anhalt | Germany | about 2 months ago
Job Code: 513 Job Offer from June 10, 2025 The Law & Anthropology Department is one of the three major departments which, together with a number of independent research groups, form the Max Planck
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to the project as required. Assist with the supervision of research students in the research area where required. Align with and actively demonstrate the Code of Conduct and Values. Cooperate with all health and
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coding in R, Matlab and/or Python, and already adapt to using the UNIX command line and executing analyses using high performance computing cluster. Preferred qualifications: Prior experience in analyzing
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Qualifications Experience with teaching, pedagogy, and/or educational technology. Basic coding experience (Python or JavaScript) is advantageous but not required; candidates must demonstrate interest in developing
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support from supervisor. Assist with lab management including instrument maintenance, trouble shooting and contacting service providers when required. Align with and actively demonstrate the Code of Conduct
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enumerated under the B.C. Human Rights Code, including sex, sexual orientation, gender identity or expression, racialization, disability, political belief, religion, marital or family status, age, and/or
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control Follow best practice for coding conventions and code documentation Engage with A Two-Way Learning Panel throughout the project to enable Indigenous capacity-building, ensure cultural sensitivity
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Analyse and interpret qualitative data using appropriate methods (e.g. thematic analysis) Use qualitative software (such as NVivo) to manage and code data Apply knowledge in a way that develops new
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nearby genes and how this promotes development. A subset of these retrotransposons splice with nearby protein coding genes, generating embryo and species specific 'chimeric transcripts' that form hundreds
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-based code optimisation. You will develop novel techniques that harness the power of machine learning to create optimisation strategies for compilers and memory management libraries for next-generation