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offers and actions on https://cluster-ia-enact.ai/ . You will work in a rare environment at the intersection of frugal AI, analog computing, reconfigurable electronics and THz imaging. The PhD is directly
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research in the state-of-the-art areas in artificial intelligence, natural language processing, large language models, and computer vision; (2) secure external competitive research grants in various funding
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Assistant professor position (non-tenured) in molecular dynamics simulations of plant hormone tra...
or comparable programming language is an advantage. Demonstrated experience in supervising students (on a Bachelor’s and/or Master’s level), building and maintaining collaborations, and independently leading
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. Application procedure The application should be written in English and attached as PDF files, as below. Maximum size for each file is 40 MB. Please note that the system does not support Zip files. CV Personal
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Technology. Experience in implementing software projects (minimum one year) LanguagesROMANIANLevelMother Tongue LanguagesENGLISHLevelGood Research FieldEngineering Additional Information Benefits All academic staff
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Technology. Participation in minimum 1 project. LanguagesROMANIANLevelMother Tongue LanguagesENGLISHLevelGood Research FieldEngineeringYears of Research Experience1 - 4 Additional Information Benefits All academic staff
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(OWFs) in light of climate change and in relation to the ongoing food and nature transitions in the North Sea. A “whole-ecosystem” approach is used by examining physical and biogeochemical processes
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degree (PhD, or equivalent) in engineering, natural science, computer science, or related fields, and be able to deliver lectures in English. □ Opening area and Rank ○ Graduate Faculty 1. Energy AI
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spoken and written English. Merits Research experience on natural language processing, causal inference. Research experience on medical domain. Knowledge of AI trustworthiness-related topics (e.g
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, candidates are required to complete a scientific programming task in the subject area of the advertised position: https://www.hpc.uni-wuppertal.de/de/peter-zaspel/challenge-in-bayesian-inference-for-climate