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commissioning commencing in 2027. The candidate will participate in the commissioning, testing, and optimization of the beamline. SINCRYS is built for SCXRD studies of small-unit-cell systems commonly encountered
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developing optimization-driven approaches to multimodal device tailoring. We are looking for someone with A PhD in Human-Computer Interaction or a closely related field Strong programming skills (e.g., Python
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Implementing and optimizing advanced experimental techniques Integrating data across molecular, genomic, and imaging platforms In addition, the candidate will: Contribute to supervision and mentoring of students
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NAS that considers accuracy, latency, energy, and carbon at the same time. Delivering a carbon-aware NAS framework that generates Pareto-optimal model architectures and model libraries whose variants
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studies using kidney cell culture models to investigate receptor–ligand interactions and endocytic pathways. Perform and optimize molecular, biochemical, and histological techniques, including
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of data-based technologies and IoT in Smart Farming systems. The main tasks include: 1) operations optimization (logistics, route planning, supply-chain management); 2) the application of remote sensing
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focus on development and advancement of data-based technologies and IoT in Smart Farming systems. The main tasks include: 1) operations optimization (logistics, route planning, supply-chain management); 2
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thereafter. Job description You will be working with antibodies targeting α-synuclein aggregates for therapy against Parkinson’s Disease. The antibodies will be engineered for optimal target engagement
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design workflows. • Analysis of antibody-antigen interactions to guide antigen optimization and vaccine development. The exact project will be tailored to the interests and background of the successful