135 machine-learning "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" positions at DAAD in Germany
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metamaterials. The successful candidate participates actively in the qualification program and general scientific activities of D³. More information can be found at https://tu-dresden.de/ing/forschung
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documents by March 26, 2026 (stamped arrival date of the university central mail service or the time stamp on the email server of TUD applies), preferably via the TUD SecureMail Portal https://securemail.tu
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, biochemical interactions and biological functions of small natural product molecules in and from plants and fungi ( https://www.ipb-halle.de/en/ ). Contact details: We are looking forward to receiving your
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the development and application of probabilistic inference methods and machine learning techniques for quantitative uncertainty modeling and for the integration of heterogeneous climate data
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and training provision within CAFE-BIO are available from the network website ( https://cafe-bio.org ) and the official EU page for the network ( https://cordis.europa.eu/project/id/101226762
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must meet all of the eligibility requirements for a regular Gilman Scholarship as stated under https://www.gilmanscholarship.org/applicants/eligibility/ . In addition, applicants must be matriculated
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. Only online applications will be accepted. AVAILABLE PROJECTS: Nanoscience: Application of bistable DNA devices Biophysics: Learning in living adaptive networks Biophysics: High-resolution structural
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and further information go to: https://www.uni-muenster.de/CiM-IMPRS We offer 16 fully financed PhD positions. More positions financed by work contracts may be offered depending on availability
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start? Have a first look of what it’s like working at ICE-2: https://go.fzj.de/ice-2 We are offering an interesting PhD Position – Techno-economic assessment of geothermal plants with material co
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equivalent in Health Economics or a related field and speak English. If you want to join us, please apply until March 29, 2026 via our online application platform. https://www.drs.fu-berlin.de/user/register