57 computer-programmer-"https:"-"Inserm"-"FEMTO-ST" "https:" "https:" "https:" "U.S" research jobs at Leibniz
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The LIT - Leibniz Institute for Immunotherapy (foundation under civil law) (https://lit.eu/ ) – is a biomedical research centre focusing on translational immunology in the fields of cancer
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immediately) Supervisor(s): Prof. Tilman Grune / Prof. Christian Stoppe Enrolment in a Doctoral Program: German Institute of Human Nutrition / University of Potsdam Project description: This project aims
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as well as through peer-reviewed publications Our requirements: Completed university degree in the field of engineering, physics, computer sciences or mathematics Experience in the field of plasma
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, and maintain research code; prepare documentation and reports. Your qualifications Enrolled student (MSc or advanced BSc) in computer science, data science, physics, engineering, mathematics, or a
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) and related to the major multi-national initiative “GOE-DEEP” supported by the International Continental Scientific Drilling Program (ICDP) and aiming to study the climate at the time of the first rise
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-of-the-art molecular and computational tools. The project seeks to accelerate global biodiversity discovery by making museum collections more accessible through open data and to advance our understanding
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the "audit berufundfamilie") – employee ID card with free admission to municipal museums – annual special payment – collectively agreed vacation entitlement – company pension plan (ZVK) Senckenberg is
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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 position is available for 3
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remuneration in accordance with TV-L provisions based on personal qualifications, with an annual bonus, capital-forming benefits, and a company pension plan (VBL) a contribution toward a job ticket a family
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Currently enrolled in Bioinformatics, Data Science, Computer Science, Computational Biology, Statistics, or a related field Interest in microbiome research, ecological data analysis, and machine learning Good