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includes: Medical, prescription drug, and dental coverage Paid vacation, holidays, and various leave programs Competitive retirement benefits, including defined contribution plans and voluntary tax-deferred
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Max Planck Institute for Extraterrestrial Physics, Garching | Garching an der Alz, Bayern | Germany | about 1 month ago
-energy group carries out major space hardware activities in support of its astrophysics research program, including the development of X-ray detectors and X-ray optics. The group has contributed
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laboratory experimental experience. · You have programming experience, knowledge of Python and Git is a plus. · You have a proven ability to write high-quality scientific papers. Language
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additional secondment partners the candidate wishes to bring onboard. iv) Evidence of English proficiency (minimum CEFR B22, also checked at interview). v) A draft Individual Career Development Plan (ICDP). vi
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major programming language, such as Java, C/C++/C#, Python, and preferably in several languages; proficiency in the Linux operating system and deployment and configuration of virtualised environments
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. Experience with wearable and sensors placed in the environment. Knowledge of characteristics associated with mild cognitive impairment capturable with digital interfaces. Experience with agentic large language
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related disciplines Research experience in use of hydrologic models Demonstrated experience with field monitoring of hydrology or soil parameters Demonstrated excellent written and oral communication skills
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Record of scholarly publication Strong quantitative analysis skills, with a minimum of 3 years of statistical programming experience with R, Stata, and/or SAS Excellent English language written, verbal
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machine learning methods in the context of biological systems Experience with programming (e.g., Python, Perl, C++, R) Well-developed collaborative skills We offer: The successful candidates will be hosted
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methods, as well as evidence synthesis, including coursework and research experience. 3. Programming experience using clinical research datasets (e.g., R, SAS, STATA). 4. Strong written and oral communication