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Establishing the potential for improved management of intermittent sewage discharges with nature-based solutions - PhD 🎯پوزیشن:محیط زیست، اکولوژیکی یا مهندسی عمران، علوم محیطی، هیدرولوژی، اکولوژی، مدیریت منابع آب و جغرافیا 💼دانشگاه: Cranfield University, United Kingdom🇬🇧 ⏰مهلت: 17 جولای 2024 🎖حوزه تحقیقاتی: Water infrastructure in the UK relies on combined conveyance of sewage, surface runoff, and pre-treated industrial wastewater. Emergency overflows divert excess flows to receiving water courses or attenuation facilities to prevent sewage backing up. Initially designed for intermittent discharges, these overflows now routinely operate due to population growth, increased paved areas, infrastructure ageing, and water ingress, with only 40% of SO spilling less than the target 10 spills per year in 2023. Climate change impacts will exacerbate this issue, as more periods of drought (where pollutants settle in the bottom of the pipes) followed by flash floods (high flows in paved areas that feed the sewers and push settled pollutants out of the pipes) are expected to be the norm. Negative public perception and regulatory response have led to targets for reducing overflow frequency, ecological harm, visual impacts, and protecting bathing water.   This PhD project has been co-developed with three water companies and the Environment Agency to address crucial gaps in knowledge needed to make nature-based solutions a central strategy for reducing occurrence and impact of SO spills. The objectives of the project include mapping land availability for nature-based solutions around SO; assessing expected SO contaminant loads; quantifying pollution, water volume attenuation and co-benefits provided by different nature-based solutions; and developing a prioritised portfolio of effective nature-based solutions for managing SO in selected catchments . This comprehensive research approach combines fieldwork, pilot experiments, and modelling to provide a robust framework for integrating nature-based solutions into SO management. This can alleviate the pressure on treatment infrastructure and reduce dependence on grey infrastructure, building resilience and long-term sustainability. 👀اطلاعات بیشتر   #Cranfield_University #United_Kingdom #PhD

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PhD student in Molecular Biosciences 🎯پوزیشن: زیست شناسی مولکولی 💼دانشگاه: Stockholm University, Sweden🇸🇪 ⏰مهلت: 7 اکتبر 2024 🎖حوزه تحقیقاتی: This PhD student position is available in the laboratory headed by Professor Martin Jastroch.The project addresses molecular mechanisms coupled to energy metabolism, in particular related to obesity, metabolic diseaes or evolution. We use animal (mice, zebrafish, opossums) and cellular (adipocytes) models to understand the underlying mechanisms in the development of metabolic function and dysfunction, assessed with mouse metabolic phenotyping, bioenergetic and molecular analyses. 👀اطلاعات بیشتر   #Stockholm_University #Sweden #PhD 🆔 @free_academic_p0siti0ns

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PhD position: self-emerging architected materials 🎯پوزیشن: مکانیک، فیزیک، (عمران، مکانیک، هوافضا، یا زیست) مهندسی، علم مواد یا یک رشته مرتبط 💼دانشگاه: ETH Zurich, Switzerland🇨🇭 ⏰مهلت: Unspecified   🎖حوزه تحقیقاتی: The Chair of Computational Mechanics of Building Materials (CMBM) aims to understand and predict mechanical failure in materials and structures. By combining numerical modeling tools with tailored laboratory experiments and theoretical models, we create a holistic perspective on mechanical failure, bridging the gap between material behavior at the small scale and principles governing catastrophic failure at the system level. CMBM is a highly interdisciplinary and international research team. The topics of current research projects at CMBM include uncovering the mechanisms of earthquake nucleation and arrest, building structures with topologically interlocked materials, revealing the processes governing the structural build-up of cement in additive manufacturing, determining the nano- and micro-scale processes that control cracking of concrete due to corrosion, uncovering the fundamental laws governing granular materials, and revealing the damage and fracture mechanisms in soft materials. This position is part of a project funded by the Swiss National Science Foundation, which will support multiple researchers, and focuses on the development of interfaces with unconventional mechanical properties. Meta-materials, which are materials with properties resulting from their meso-structure, are commonly manufacture via 3D-printing processes. While this provides great flexibility in the design of the meta-material, it is also a relatively slow process. To overcome this limitation, this project explores an alternative approach inspired by nature, namely emerging microstructures, and aims to link the properties of the building blocks with interfacial properties of the self-assembled material structure. Through this approach, this project establishes the necessary understanding to design manufacturing processes that lead directly to the desired tailored (and potentially unconventional) material properties (e.g. fracture toughness and stickiness). 👀اطلاعات بیشتر   #ETH_Zurich #Switzerland #PhD

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2 PhD Positions 💼دانشگاه: Newcastle University, United Kingdom🇬🇧 1️⃣    PhD Studentship - Data Driven Optimisation for Process Scale-up 🎯پوزیشن: مهندسی شیمی یا شیمی ⏰مهلت : 30 ژوئن 2024 2️⃣   PhD Studentship - Optimizing Pulse-Jet Cleaning for Sustainable Energy: A CFD Approach to Emissions Control 🎯پوزیشن: دینامیک سیالات محاسباتی (CFD) ⏰مهلت : 30 ژوئن 2024 #Newcastle_University #United_Kingdom #PhD •┈┈┈•✦ 🌹 ✦•┈┈┈•       @Expert_Apply •┈┈┈•✦ 🌹 ✦•┈┈┈•

PhD Student (m/f/d) | Development and Implementation of Machine Learning Applications and Data Analysis in Translational Psychiatry 🎯پوزیشن:علوم زیستی یا بیوانفورماتیک 💼دانشگاه: Max Planck Institute of Psychiatry, München, Germany🇩🇪 ⏰مهلت: unspecified 🎖حوزه تحقیقاتی: The MPIP Fellowship led by Prof. Dr. med. Falkai at the Max Planck Institute of Psychiatry focuses on developing transdiagnostic biomarkers across the spectrum of mental illness. The project group “Translational Deep Phenotyping” explores and validates biomarkers that identify and predict disease severity and treatment response in schizophrenia spectrum disorders and depression. This approach enhances the comprehension of mental illness pathophysiology through a highly interdisciplinary, integrative, and multimodal approach. We utilize multi-omics techniques, functional (epi)genomic approaches, and integrate phenotypic imaging, electrophysiology, and clinical data in our research. Moreover, patient-specific iPSCs data enrich our approach of translational deep phenotyping. Finally, as a translational research group, we conduct diagnostic studies in clinical settings to bridge the translational gap and test and apply our tools in clinical practice. 👀اطلاعات بیشتر   #Max_Planck_Institute #Germany #PhD

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