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Field
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will develop novel tools which will allow efficient flow modelling tools for other researchers to explore higher fidelity thermochemistry modelling. The main responsibilities of the post will be
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the proto-oncogene c-Myc biology of the tumour suppressor Arf and p53 Reversibly switchable mouse models and technologies Downloading a copy of our Job Description Full details of the role and the skills
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swine ALS model. The postholder will lead wet-lab experimental work, across biophysical (MANT-ATP) and functional genomic assays (methylome, transcriptome and proteome), generating and integrating multi
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Science, Robotics, AI, or a related field 2. Strong background in machine learning and robotics, with specialisation in one or more of the following areas: generative models, reinforcement learning, human
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strategies, discovered within our group, to combat heart failure. The work will integrate studies using isolated cell systems with advanced in vivo models, with a particular focus on characterising newly
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for this post. The successful candidate will be required to develop a personal research programme in theoretical cosmology (which may include numerical modelling and/or data analysis), interacting with faculty
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strategies, discovered within our group, to combat heart failure. The work will integrate studies using isolated cell systems with advanced in vivo models, with a particular focus on characterising newly
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of Univ.-Prof. Tarja Knuuttila. The main research areas associated with this professorship are general philosophy of science, with focus on scientific modeling, interdisciplinarity and philosophy
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research projects investigating novel strategies, discovered within our group, to combat heart failure. The work will integrate studies using isolated cell systems with advanced in vivo models, with a
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managing and working with complex, high-dimensional datasets, ideally in the life sciences, and should be comfortable using open-source data management and analysis tools (e.g., R, Python, SQL, or similar