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Dana Foundation Professional Development Awards Eligibility: Applicants must be currently affiliated with an academic or non-profit institution in the United States and enrolled in a training
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The Leibniz Institute for Solid State and Materials Research Dresden e. V. (IFW Dresden) conducts modern materials research on a scientific basis for the development of new and sustainable materials
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the following conditions: Scientific Area: Physics Admission requirements: To have a PhD in Physics or related areas; The place of development of the research work to obtain the degree of Doctor complies with
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Research Scholarship of Post-Doctoral Research for the scientific area of Chemistry - IST/2025/BL103
protein (FAP) as an emerging target for molecular imaging and/or cancer therapy, this project aims to develop and optimize bioconjugation and radiolabeling methods for computationally designed miniproteins
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-administration (CWL login required). Please note: it is recommended that the nomination form be downloaded, filled out and saved in Adobe, rather than via a web browser. G+PS will review nominations
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://www.daad.org.cn Please note Certificates, proof of credits, references and translations may be scanned in non-certified form and uploaded to the DAAD portal. The DAAD will only request certified copies of documents
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quantitative verification interested in co-developing Automata Tutor - main developer of Automata Tutor Positions in the Formal Methods for Software Reliability group of TU Munich led by Prof. Jan Kretinsky
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11 37077 Göttingen Germany Web: https://www.mpinat.mpg.de/grubmueller Social Media: CompBioPhys Information pursuant to Article 13 DS-GVO on the collection and processing of personal data during
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Objectives - Develop hemocompatible hybrid and composite membranes for gas permeation. - Integrate Metal–Organic Frameworks (MOFs) to enhance oxygen and carbon dioxide permeability and selectivity. - Design
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the analysis of complex biomedical data using state-of-the-art AI and agentic system approaches, as well as the development of novel machine learning and deep learning algorithms. Your work will range from