162 programming-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" "https:" "https:" "UNIV" "UNIV" positions at Leibniz
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English-language skills. Experience with programming is highly recommended. Above-average interest in the topic, we consider self-motivation and the ability to face new professional challenges as self-evident
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– company pension plan Senckenberg is committed to diversity. We benefit from the various expertise, perspectives and personalities of our staff members and welcome every application from qualified candidates
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Student or Scientific Assistant for Remote Sensing Data Processing and Cloud-based Workflows (f/m/d)
until 15 January 2026 to (see button e-mail application below). https://jobs.zalf.de/jobposting/70f91c6251650b58347f943683a60c00ccd3b5750 If you have any questions, please do not hesitate to contact us
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information at: http://www.ifw-dresden.de . The Institute for Metallic Materials (Prof. K. Nielsch) of the IFW Dresden offers a Post Doc Position (m/f/div) on the following topic: Project Coordination and Build
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research project, and the training programme is available on the RTG webpage (https:// www.uni-goettingen.de/rtg2906). Applications are due by 15.01.2026. We ask you to submit your written application as a
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supervision by an interdisciplinary Thesis Advisory Committee Enrolment in one of the Göttingen PhD programs offering compulsory and elective courses suited to individual needs and careers goals subsidy
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genomics, genome assembly and programing of scripts, R Very good written and oral communication skills in English Interest to species distribution modeling, paternal inference, conservation genetics and
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energy transition, and defense economics, among others. In this role, you will work closely with advanced Ph.D. students and postdoctoral scholars from the Next-Geo program to assist them with
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the Fellows4Fungi programme at the Leibniz-HKI (Jena, Germany). Fellows4Fungi - Exploring fungal pathogens within unexplored microbial networks is an international postdoctoral programme co-funded by the Marie
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master’s program in Physics, Electrical Engineering, Computer Science, Photonics or a related field Prior knowledge in machine learning, data science, measurement technology, optoelectronics Interest in