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Computer Science Department at Saarland University. Numerous research topics spanning all of Computer Science are available. Applicants are encouraged to look at covered topics at https://www.cis.mpg.de/ . Course
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fluorescence methods, e.g., spectroscopy and microscopy Computational simulation of the molecular interactions within the liposomal membrane in cooperation with expert teams Summarizing your results in
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- 21:59 (UTC) Country Germany Type of Contract To be defined Job Status Other Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
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) Application Deadline 10 May 2026 - 21:59 (UTC) Country Germany Type of Contract To be defined Job Status Other Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the
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open on 10 January. Please check the website of the programme for further information. Submit application to https://www.portal.graduatecenter.uni-muenchen.de/ocgc/proenviron Accommodation
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, earth sciences, energy systems, or material sciences University degree (M.Sc. or equivalent) in applied mathematics or in computational engineering science, computer science, simulation science with a
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Helmholtz-Zentrum für Infektionsforschung GmbH | Braunschweig, Niedersachsen | Germany | 21 days ago
2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number 654 Is the Job related to staff position within a Research Infrastructure? No Offer
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Fraunhofer IGD and the FBN team to safeguard an efficient collaboration and communication between behavioural biologists and computer scientists. The project is part of the KI-Tierwohl project (https://ki
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20 Mar 2026 Job Information Organisation/Company Academic Europe Research Field Biological sciences » Other Computer science » Other Medical sciences » Cancer research Researcher Profile Recognised
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the results In addition, you will use algorithms to extract surface characteristics such as roughness, waviness, and contact ratio from the collected data Furthermore, you will develop a machine learning model