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Previous Job Job Title Post-Doctoral Associate Next Job Apply for Job Job ID 368929 Location Twin Cities Job Family Academic Full/Part Time Part-Time Regular/Temporary Regular Job Code 9546 Employee
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. Proven expertise in bioinformatics, coding languages, and statistical analysis tools. A deep understanding of biological pathways and systems biology, with a preference for microbiological pathways and
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implementation Reference code: 50144551_2 Commencement date: 01.09.2025 Work location: Hamburg Application deadline: 13.07.2025 The Climate Service Center Germany (GERICS), a scientific organizational entity of
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(typically between 7-11pm) Mentorship and Laboratory Responsibilities (10%) Undergraduate mentorship (data entry, coding projects, image processing) Collaborate with a diverse team of researchers, including
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-MuTaNTS can be used therein. Tasks for the Post-doctoral Researcher Position Perform pore-scale reactive transport simulations and take part in the development and benchmarking of the developed code in
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. The salary for this post is at Grade UE07: £40,497 to £48,149 per annum, pro-rata if part-time. Your skills and attributes for success: PhD (or near completion) in a relevant field. Strong coding skills in
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Max Planck Institute for Astronomy, Heidelberg | Heidelberg, Baden W rttemberg | Germany | about 4 hours ago
Job Code: 395 Job Offer from June 26, 2025 The Max Planck Institute for Astronomy (MPIA) in Heidelberg invites applications for up to three postdoctoral position to work on topics related to ISM
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journals, and present findings at scientific conferences. A coding sample is required in order to complete the application process. Please include a link to a GitHub page or other coding sample as “Specific
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at international academic gatherings; Create, maintain, and document high-quality research code for reproducibility; Maintain good practice in managing and accessing sensitive medical datasets; Assist the supervisor
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prior to the effective date of appointment with a minimum of one year eligibility remaining. • Experience with analysis of time series data. • Solid background in coding. • Ability to work effectively