55 coding-"https:"-"FEMTO-ST"-"CSIC"-"P"-"UCL" "https:" "https:" "https:" "https:" "https:" positions at Nature Careers
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, genetics and physiology Experience with bioinformatics and coding in Python or other programing language Experience with protein software tools like AlphaFold3, Boltz2, PyMOL, Chimera, etc. Interest in
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not required; we're targeting talented software engineers who want to expand into the fields of bioinformatics and genomics (visit https://learngenomics.dev/ to learn more about genomics in
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of the German Social Code (SGB IX) are explicitly encouraged. Applicants with severe disabilities will be given preference in the case of equal suitability. Applications from women are expressly encouraged. Women
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for the future of mobile and satellite communications. Fields of applications range from 5G/6G telecommunications to satellite-based internet connectivity. For details, you may refer to the following: https
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our website: https://www.list.lu/ How will you contribute? As part of a major European project on high‑performance, multifunctional textile materials, the Luxembourg Institute of Science and Technology
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) in the field of model and code development for the transformation and circularity in energy-intensive industries (steel, cement, and plastics) starting as soon as possible. The position is initially
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status pursuant to the German Social Code IX (SGB IX) will receive priority for employment. Please submit your detailed application with the usual documents by March 20, 2026 (stamped arrival date
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the ongoing research lines at IRBLleida. 1.2. Summary Researchers wishing to apply to a forthcoming ICREA 2026 Senior Researcher position (https://www.icrea.cat/en/calls ) or already holding an ICREA
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the Interreg project webpage ( https://www.sn-cz2027.eu/de/projekte/prioritat-2-klimawandel-und-nachhaltigkeit/100781629_beech ). For TUD diversity is an essential feature and a quality criterion of an excellent
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DC-26094– POSTDOC/DATA SCIENTIST – AI-DRIVEN CLIMATE RISK MODELLING AND EARLY WARNING SYSTEMS FOR...
: https://www.list.lu/ How will you contribute? You will be part of LIST’s Remote sensing and natural resources modelling group Embedded in the Environmental Sensing and Modelling (ENVISION) unit