59 algorithm-development-"Multiple"-"Prof" "NTNU Norwegian University of Science and Technology" PhD positions at DAAD
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website: https://www.isse.tu-clausthal.de/. Your tasks are Research and development in the above mentioned topics. Design and implementation of prototypes. Publication of your results at national and
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international collaborators’ labs. The applicant should: • have interest in developing and/or applying novel chemical probes to investigate biological functions, • have sound knowledge of organic chemistry, both
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for a PhD. at the Institute for Software and Systems Engineering (ISSE) located Research Group Digitized Green Tech focusses on the design and the development of digital solutions to shape a sustainable
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for a PhD. The at the Institute for Software and Systems Engineering (ISSE) located Research Group Digitized Green Tech focusses on the design and the development of digital solutions to shape a
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to contribute to sustainable development. training future academic and professional leaders, qualified professionals’ involvement in the solution of development-related problems in Latin America graduates
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code via differential testing) We focus on techniques that apply to real-world software systems. E.g., in the past, we have developed techniques that find and fix bugs in widely used Python, Java, C/C
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and spectroscopy Construction and optimization of single-molecule microscopy setups Development of image- and signal-processing software for single-molecule microscopy and spectroscopy data Analysis
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an adviser in the Studienstiftung’s office and a personal tutor at their home university, who follow their academic and personal development and offer guidance on issues relating to their scholarship and
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research expertise while also developing their clinical skills. Receive exceptional training for a successful career in research, clinic, and academia! Structured curriculum: Core Courses | Lecture Series
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: Develop innovative machine learning architectures for the mining, prediction, and design of enzymes. Combine state-of-the-art ML (e.g., deep learning, generative models) with computational biochemistry