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assessment tools for OSH professionals. In this project, we aim to develop a 'Biological Exposome' risk model for the workplace using a layered approach, moving from qualitative to quantitative risk assessment
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The vacancy is within the group of Prof. Barbro Melgert at the department of Molecular Pharmacology, Groningen Research Institute of Pharmacy, Faculty of Science and Engineering, University
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PhD Position in Modelling Regulation of Plant Stress Responses across Species Faculty: Faculty of Science Department: Department of Biology Hours per week: 36 to 40 Application deadline: 16 June
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single mirror image forms is often denoted as “A Signature of Life”. Homochirality is essential for, e.g., molecular recognition and information processing, enzyme functioning and cell replication. However
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-stress response model, going from the molecular network to the plant-level architecture and responses. This position is advertised at Utrecht University You will work here You will be located at Wageningen
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inheritance. Using an open-ended model, we will explore molecular structures of life as we know it (DNA), as well as other potential polymerisation rules. These models will also help interpret and guide
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PhD position - Modelling the emergence of information transfer in prebiotic self-replicating systems
and inheritance. Using an open-ended model, we will explore molecular structures of life as we know it (DNA), as well as other potential polymerisation rules. These models will also help interpret and
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modelling of materials and machine learning. Experience in atomistic modelling (molecular dynamics, density functional theory) and machine learning is important, as well as a strong interest in pursuing
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Engineering, Computational Physics, Materials Science or a related discipline is required, with experience in atomistic modelling of materials and machine learning. Experience in atomistic modelling (molecular
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medicine. As a PhD student, you will: Build computational models that integrate molecular and genetic data to study possible OA treatments. Develop bioinformatics pipelines, network-based approaches