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Research Scholarship of Post-Doctoral Research for the scientific area of Chemistry - IST/2025/BL103
Conjugates for Targeted Chemotherapy and Radiotherapy Duration: 12 months Maximum Duration Including Renewals: 24 months Objectives Design and synthesize optimized FAP binding proteins possessing varying
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; modelling of processing steps and whole processes to support innovation, design, optimisation and control for manufacturing operations. Process control: process modelling, control, and optimization, with
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for manufacturing operations. Process control: process modelling, control, and optimization, with applications in chemical and pharmaceutical manufacturing; data-driven modelling and machine learning applications in
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. Excellent interpersonal skills, with the ability to work both independently and collaboratively within a multidisciplinary team. Proficiency in spoken and written English, along with strong communication
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artificial intelligence into maritime engines powered by alternative fuels like hydrogen significantly enhances operational efficiency and reduces emissions. AI systems can continuously analyze real-time data
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ML models and Python programming. Work Objectives: The main objective of this position is to develop, implement, and validate advanced machine learning methodologies within the scope of the project
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Understanding - Face / Body Tracking, 3D Avatars - Non-Linear Optimization - Media Forensics / Fake News Detection How to Apply: Follow the instructions on our application platform: https
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of the systems could be improved, and operational costs could be optimized. To perform this exciting research, we are looking for a highly motivated student or PostDoc who has recently finished his/her Master’s
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PhD/Postdoc position in trustworthy data-driven control and networked AI for rehabilitation robotics
focus on human-machine collaboration. The merger of the two universities of excellence combines their world-leading preliminary work in the field of Tactile Internet. 6G-life will provide new approaches
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13.03.2023, Academic staff We are looking for motivated students to work on the development and implementation of a cheap and scalable ceramic processing concept towards a fully sprayed Li-based