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Field
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FieldComputer scienceYears of Research ExperienceNone Research FieldMathematics » AlgorithmsYears of Research ExperienceNone Additional Information Eligibility criteria -- PhD in computer science or applied
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neuroscience and data analysis Proficiency in programming (e.g., Python, MATLAB, and similar languages) Experience with large-scale neural network simulations Experience with analysing large-scale neural
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the development and implementation of machine learning (ML), computer vision (CV), large language models (LLMs), and vision-language models (VLM) to automate data extraction and interpretation for productivity
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of the PhD Positions:•Multidisciplinary training: Training of DCs will exploit multidisciplinary consortium expertise spanning design, modelling and simulation of photonic systems, sensor systems, signal
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organizing the large bank of human aneurysm and artery specimens, interfacing with the collaborating clinical sites on the proper handling and transport of the specimens from the clinic to the Pitt laboratory
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information of subcellular structures and biomolecules. The PhD candidate will be employed at the Department of Precision and Microsystems Engineering (PME) and work in close collaboration with the Department
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to use precision microfluidic control to discover high-resolution strucutral information of subcellular structures and biomolecules. The PhD candidate will be employed at the Department of Precision and
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Experience1 - 4 Research FieldMathematics » AlgorithmsYears of Research Experience1 - 4 Additional Information Eligibility criteria You hold a PhD in computer science or another field, with experience in
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will generate a wide range of contemporary high-resolution next-generation sequencing and array-based genomic and epigenomic datasets across large cohorts of human tumours and experimental models
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long-term experiments. Your profile The candidate must have a PhD degree in silviculture and/or forest management or a very similar subject. The candidate must have proven experience in data analysis and