Dartmouth - Tuck School of Business

Ref.: 534117 Work type: Full-time Department: Department of Medicine, School of Clinical Medicine (20600) Categories: Senior Research Staff & Post-doctoral Fellow Post-doctoral Fellow in the Division of Neurology of the Department of Medicine, School of Clinical Medicine (Ref.: 534117) We now invite applications for the captioned post. Duties and Responsibilities Assist in collaborative multi-omic research projects relating to gut microbiota and vascular and brain health Involve in the design, implementation, and testing of statistical and AI software for analysing large healthcare-related data, including data from electronic health records, medical images, and sensor data from wearable devices Responsible for writing up results, training and supervising students and junior staff, preparing manuscripts, drafting and submitting competitive internal and external grants Perform other duties as assigned Requirements A Ph.D. degree with a strong research background in bioinformatics, epidemiology, biostatistics, genomics, big data analytics, or artificial intelligence analytics Be familiar with conducting analysis with different types of data, including metagenomics sequencing, genomics, proteomics and metabolomics data A good command of written and spoken English Strong communication skills A demonstrated track record of publishing academic research papers Self-motivated, hardworking, and able to work well in an interdisciplinary team What We Offer The appointee would be exposed to ample opportunities in developing an academic career. The appointment will commence as soon as possible on a temporary basis for 1 year, with the possibility of renewal subject to satisfactory performance and funding availability. A highly competitive salary commensurate with qualifications and experience will be offered. Other benefits include annual leave, medical benefits and free access to on-campus gyms and libraries. Those who have responded to the previous advertisement (Ref.: 533560) need not re-apply.  How to Apply The University only accepts online application for the above post. Applicants should apply online at the University’s Careers site (https://jobs.hku.hk) and upload an up-to-date C.V. Review of applications will start from [two weeks from posting] and continue until [one month from posting], or until the post is filled, whichever is earlier The University is an equal opportunities employer and is committed to equality, ethics, inclusivity, diversity and transparency

We are seeking an enthusiastic and experienced senior research fellow to work on a £1m EPSRC-funded project to develop human-centred AI methods that can support and enhance intelligence analysis for national security and defence. The ‘AiTASHA’ project (AI Intelligence Triage & Acquisition Support for Human-centred Analysis) aims to improve the speed and confidence of intelligence analysts’ assessments by building new AI tools that can work alongside human analysts. Intelligence analysts are routinely required to make high-consequence, defensible assessments from vast, complex and uncertain datasets, to identify indicators and warnings of hostile or malicious activities. Analysts must make these assessments rapidly in a highly-pressured and resource-constrained environment, where they face difficult choices of what data to analyse first, and whether to gather additional intelligence, potentially at the cost of delay or increased risk. Addressing this challenge is becoming increasingly urgent as both the scale and complexity of intelligence datasets, as well as the threat posed to UK safety, are growing, and existing AI support tools primarily focus on the identification and visualisation of patterns within datasets, without due consideration of human understanding or context, defensibility, and representation of uncertainty. The goal of this ambitious project is to make fundamental advances that will together underpin and enable a future explainable, defensible AI system that can complement, rather than replace, the work of intelligence analysts; recommending which existing data should be prioritised for human review and which potential new data should be prioritised for acquisition. To address this challenge we will advance the state-of-the-art across multiple component disciplines; in explainable multi-modal deep learning models, in causal statistical models and in human-machine teaming and AI ethics. The researcher will conduct internationally-leading research in human factors with applications to intelligence analysis. This role will involve developing and applying methods for eliciting knowledge from expert analysts in order to encode understanding of their mental models into a machine learning model, using dynamic Bayesian networks to understand, propagate and reduce uncertainty in their assessments. The research will apply models of distributed situation awareness and ecological interface design techniques to develop a novel human-centred human-AI teaming model. The researcher will also be working closely with colleagues in statistical / graphical modelling as well as AI ethics, and will therefore need to be conversant in these areas. The role will be based at the University of Southampton as part of an interdisciplinary consortium on the AiTASHA project, which is led by the Alan Turing Institute and also includes the universities of Warwick, Cardiff and Dundee, working closely with UK government defence and national security partners. The successful candidate will join this vibrant and interdisciplinary team of researchers and will have frequent opportunities to engage with internal stakeholders and external government partners throughout the delivery of the project. During the project it is expected that they will work as part of a small tight-knit cohort of Early Career Researchers spanning the AiTASHA consortium universities. Please apply by uploading your CV and a Cover Letter. To be eligible for this role it is a funder requirement that you are a UK National or have been residing the in the UK for 5 years or more, and be happy to be put forward for a Security Check (SC) clearance. Please confirm the following information in your cover letter: Your current and any former nationalities That you have been residing in the UK for the past 5 years

Ref.: 534149 Work type: Full-time Department: Department of Pharmacology and Pharmacy (21300) Categories: Senior Research Staff & Post-doctoral Fellow Post-doctoral Fellow in Drug Delivery, Nanomedicine & Advanced Therapeutics at the Department of Pharmacology and Pharmacy (several posts) (Ref.: 534149)  We now invite applicants to join the Science, technology, engineering, and mathematics Lab of Drug Delivery, Nanomedicine & Advanced Therapeutics at the Department of Pharmacology and Pharmacy, LKS Faculty of Medicine. We are looking to recruit a number of highly motivated postdoctoral fellows, PhD students, a lab technician and a research officer to join the international lab of Professor Khuloud Al-Jamal, a Chair of Drug Delivery and Nanomedicine. The aim of our lab is to use nanotechnology to better understand, diagnose and treat diseases with particular interests in cancer and neurodegenerative diseases. We are a highly collaborative and multidisciplinary lab eager to create an impact on people’s lives taking research a step beyond the lab.  Research projects we are looking to pursue are in the areas of extracellular vesicles & cell therapy, immunotherapy, nucleic acids therapeutics for brain cancer and neurodegenerative diseases. Duties and Responsibilities: Design and develop small molecules, nucleic acids and peptide therapeutics. Design, prepare and characterize nanoparticles. Employ state-of-the-art techniques to assess the physicochemical properties of nanoparticles, ensuring their stability, drug release kinetics, encapsulation efficiency and electron microscopy imaging. Integrate innovative approaches to enhance the specificity and efficiency of advanced therapeutics, with a particular emphasis on addressing challenges related to tissue penetration and targeted delivery. Conduct cell culture studies using cell lines, primary cultures and/or patients' tissues for efficacy evaluation. Conduct in vivo studies, including administration of nanoparticles, monitoring fate, therapeutic response, and assessing the impact on disease progression. Develop relevant disease models to assess therapeutic efficacy of a specific treatment. Demonstrate understanding of the disease pathology for better design of advanced therapeutics. Coordinate with clinical collaborators to obtain ethical approvals and obtaining human tissue samples for subsequent studies. Engage in collaborative projects both internally and externally. Periodically report progress to PI, co-investigators, project collaborators, and project funder. Initiate and contribute to grant writing activities. Write study-specific procedures for analytical methods, protocols, and reports and provide training on processes and equipment. Supervise and co-supervise undergraduate and postgraduate students. Disseminate research findings through the preparation of research articles and presentations at international conferences. Foster an agile and friendly working environment within the research group. Requirements: Education and Expertise: Ph.D. in Pharmaceutical Sciences, Pharmacology, Biology, Molecular Biology, Biochemistry, Immunology, Bioengineering, Chemistry, Data Science or related fields. Post-doctorate experience preferred. Proven track record in conducting high-quality biological or chemical research. Demonstrated history of writing reports and scientific articles based on research results. Research Skills: Strong background in various research areas including pre-clinical studies, image-guided delivery, nucleic acid therapeutics, targeting and therapeutic aptamers/peptides, immunotherapy, RNA biology, nose-to-brain delivery, blood brain barrier targeting, nanoparticle formulation, peptide therapeutics, T cells therapy, extracellular vesicles, cancer vaccines, brain cancer, motor neuron disease, protein corona, hydrogels, and gene therapy/editing. Hands-on experience in advanced cell culture techniques and in vivo models. Proficiency in various cell and molecular biology experimentation techniques like PCR, gels, Western blotting, Immunohistochemistry, ELISA and flow cytometry, immune profiling. Experience in bioconjugations. Desirable Skills: Highly desirable skills include various in-vivo tracking modalities and imaging techniques for monitoring drug delivery dynamics. Additional advantageous skills involve working with patient tissue handling and culturing, surgical implantation of brain cancer, cryo-electron microscopy, transcriptome, proteome, single cell sequencing and bioinformatics, iPSC derived cells, tissue organoids and/or tissue slices, analytical techniques e.g. LC-MS, liquid scintillation, HPLC, MS, NMR. Administrative and Collaborative Skills: Ability to manage a research programme financially and administratively under the guidance of the Principal Investigator. Ability to work independently with excellent problem-solving skills, collaborate within a team, and supervise students. High attention to detail in experimental design and execution with a willingness to adapt to new procedures and undergo further training as necessary. Language and Technical Competence: Excellent command of written and spoken English. Capable of writing grants and contributing to additional funding acquisition. Proficient in IT skills for efficient data management and communication within the research programme. What We Offer The appointment will commence as soon as possible on a temporary basis for 1 year, with the possibility of renewal up to 3 years subjected to satisfactory performance and funding availability. A highly competitive salary commensurate with qualifications and experience will be offered. Other benefits include annual leave, medical benefits and free access to on-campus gyms and libraries. Those who have responded to the previous advertisement (Ref: 532606) need not re-apply. How to Apply The University only accepts online application for the above post(s). Applicants should apply online at the University’s Careers site (https://jobs.hku.hk) and upload an up-to-date C.V. Review of applications will start as soon as possible and continue until March 31, 2026, or until the post(s) is/are filled, whichever is earlier. The University is an equal opportunities employer and is committed to equality, ethics, inclusivity, diversity and transparency