75 programming-"https:"-"https:"-"https:"-"https:"-"https:"-"Department-" Postdoctoral positions in United Kingdom
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or knowledge of next generation sequencing technologies, bioinformatics and statistical method development and/or epidemiology and large-scale data management Strong programming skills, ideally with experience
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Studies (OSGA) and contribute to the interdisciplinary Oxford Martin School Pandemic Genomics Programme. The successful candidate will work on a research project investigating equitable genomic surveillance
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to the supervision of PhD students based at Liverpool. You will bring strong expertise and a proven track record in thermochemical heat storage technologies. You will demonstrate the ability to plan, organise, and
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skills in distributed AI/ML, networked systems, data management, and/or software engineering are recommended for this position. The post requires strong research, programming, and system development
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numerical simulations. Experience in programming, preferably in C/C++ and Python, or similar scientific computing languages. Highly desirable Background in chemical physics, statistical mechanics, and/or soft
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Strategy 2030 and Research and Knowledge Exchange Plan 2030, IAT is currently enhancing its core strands of research activities, delivery and impact, including REF 2029 through its two Units of Assessment
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large GPU clusters on cryoSTEM datasets in the multi-terabyte range. This position plays a pivotal role in supporting ongoing, high-impact research programs within our lab. The successful candidate will
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. Desirable criteria Experience with training or fine-tuning LLMs or other generative AI models Excellent programming skills and familiarity with modern AI frameworks Downloading a copy of our Job Description
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environment. What we are looking for: You will have excellent mathematical skills, programming expertise, and experience in mechanistic modelling of biological systems. A PhD in computational systems biology
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the European Union's Horizon Europe research and innovation program (Grant Agreement No. 101164099). The project is led by Assist.-Prof. Dr. Isabella Anderson-Wagner. The Wagner Lab is an interdisciplinary