36 programming-"https:"-"Inserm"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "Dr" "UCL" Postdoctoral positions at Leibniz in Germany
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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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(TIB ) – Leibniz Information Centre for Science and Technology – Program Area D, Open Research Knowledge Graph, is seeking a Postdoctoral Researcher (Postdoc) - Artificial General Intelligence (AGI
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methods Ability to work in a team International experience Good written/spoken English skills Experience in interdisciplinary collaboration Further information: For questions, please contact Prof. Dr
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company pension plan with VBLU Diverse opportunities and support for professional and personal development for academic or non-academic career development Excellent research environment and networking
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transport Easy accessibility by public transport or car (including free parking) 30 days of vacation Participation in the benefits program for employees („Corporate Benefits“) The advertised position is
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applications for a Postdoc (m/f/d) in the field of Dynamics of quantum materials Job profile: We seek applicants for a 1-years postdoctoral position working in the group of Prof. Dr. Sangeeta Sharma, “Dynamics
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publications Excellent command of English Strong proficiency in programming languages such as Python, MATLAB, or R Demonstrated methodological expertise in advanced EEG and/or fMRI methods, evidenced by
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motivated applicant to join the working group of Prof. Dr. Axel Janke. The successful candidate will be closely involved in gene flow, evolutionary, population or phylogenetics processes to study speciation
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applications for a Postdoc (m/f/d) in the field of Dynamics of quantum materials Job profile: We seek applicants for a 1-years postdoctoral position working in the group of Prof. Dr. Sangeeta Sharma, “Dynamics
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, experience with Linux shell-based bioinformatics tools, and basic programming skills (e.g. Python) are essential. Experience with metabolome analyses and natural product biosyntheses will be a plus. The DSMZ