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reclamation pilot-scale and lab-scale systems. Conduct membrane and separation process modelling, module-scale desalination system modelling, including conventional modelling and machine learning-based
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. Excellent experience in membrane and separation process modelling, module-scale desalination system modelling, including conventional modelling and machine learning based modelling. Relevant research
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clinical approaches, including: Histopathology and digital pathology (whole-slide imaging, WSI) Quantitative analysis of the tumour immune microenvironment AI-based image analysis, machine learning and deep
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detailed tasks accurately and with quality. The position will contribute to developing and/or applying artificial intelligence, machine learning, and image segmentation and/or data science-based methods in
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imaging and machine learning. The main task of the successful candidate will be to help redefine certain traditional criteria of comparative anatomy used in archaeozoology and to establish new criteria
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: https://www.mimuw.edu.pl/en/research/ Teaching profile of faculty The Faculty offers top-quality education in mathematics, computer science, bioinformatics and systems biology, and machine learning. Our
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representation, logic, machine learning, networks, operating systems, programming languages, protocols, security, social choice, software engineering Deadline for submitting applications: 20 February 2026 Required
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bargaining agreement. The salary range for this position is $84.78 - $109.85 (Hourly Rate). To learn more about the benefits of working at UCSF, including total compensation, please visit: https
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neurons. Responsibilities and tasks This PhD project aims to develop, verify, and benchmark learning rules in networks of complex spiking neuron models in the application field of geolocalization: Building
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of experience in college admissions or related field. Must possess strong written and verbal communication skills. Strong computer skills, particularly Microsoft Office Suite; and aptitude to learn new systems as