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, diffusion models) to augment microscopy datasets Investigating domain adaptation techniques across different imaging modalities Collaborating closely with experimental partners to validate methods and
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assays to quantify kinetics and selectivity under operationally relevant conditions; and multi-modal spectroscopy (e.g., UV–Vis, NMR, EPR and complementary methods) to characterize metal coordination
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“Multi-modal proteomics to understand and overcome niche-related adaptive drug-resistance mechanisms in FLT3-mutated AML“ we are looking for a PhD student. The project is is part of the SFB/CRC 1709
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application-oriented research that unlocks the potential of data through rigorous analysis – advancing solutions in societally relevant domains. Your profile Master’s degree in Statistics, Industrial
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under civil law in Freising, is a research institution of the Leibniz Association that combines methods of biomolecular basic research with analysis methods of bioinformatics and analytical high
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Dortmund, we invite applications for a PhD Candidate (m/f/d): Analysis of Microscopic BIOMedical Images (AMBIOM) You will be responsible for Developing new machine learning algorithms for microscopy image
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This project aims to develop outcome measures for early detection of neurodegenerative disorders using artificial intelligence (AI) and various sensing modalities, offering personalised support to
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individuals with options that mimic the taste, appearance, and social experience of alcoholic beverages, without the intoxicating effects. It is difficult to differentiate between alcoholic and ‘zero alcohol
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-modal prior information Job description The project is part of the IMAGINE open innovation lab (https://research.umcutrecht.nl/news/imagine-takes-off/ ), and aims to develop novel computational methods
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should have a strong foundation in artificial intelligence, machine learning, and multi-agent systems, along with experience in programming, data analysis, and model development. Knowledge