University of Mines and Technology

Description The Prof. Sunil Kumar’s Research Group in the Division of Engineering, New York University Abu Dhabi, seeks to recruit a junior research scientist to develop AI-enabled healthcare applications. Key Responsibilities: Develop and fine-tune computer-vision models, instance segmentation, and retrieval-based estimation from images and text metadata. Build and evaluate monocular depth pipelines and implement multimodal retrieval with re-rankers for robust profile selection. Design and train advanced AI models for digital twin: 3D model learning, prediction models from imaging and molecular data, model-based simulation coupling, and uncertainty-aware outputs for lab/clinical validation. Work with 3D datasets, time-series sensors, and multi-omics or assay data to create predictive models and digital twin prototypes. Maintain reproducible code, experiments, and model/ dataset versioning; develop deployment artifacts (Docker, CI/CD scripts) and support cloud/HPC model training. Plan, run and analyze pilot studies (SME pilots and lab validation); participate in data collection, annotation and lab assay coordination. Write up results and contribute to publications, technical reports and presentations for academic and non-academic stakeholders. Minimum Qualifications: Bachelor’s or Master’s degree in computer science, electrical/computer engineering, applied mathematics, computational biology, bioengineering, or a closely related discipline. Solid experience training and evaluating AI models. Proficiency in Python and ML frameworks (PyTorch, TensorFlow). Experience with dataset curation, annotation workflows, FAISS/embedding retrieval, LLM-based parsing, RAG-style pipeline, and GPU/HPC training. Familiarity with 3D data processing or willingness to learn quickly. Publications, thesis work, or demonstrable projects in computer vision, multi-modal ML, digital twins or biomedical ML. Familiarity with uncertainty quantification and model explainability methods. Strong software engineering practices: Git, reproducible experiments, modular code, deploying models in cloud (AWS/GCP) and containerized services (Docker, Kubernetes). Good written and verbal communication skills and ability to work collaboratively across interdisciplinary teams. For consideration, applicants need to submit a cover letter, curriculum vitae with full publication list statement of research interests, transcript and three letters of reference, all in PDF format. If you have any questions, please email Prof. Prabodh Panindre at prabodh@nyu.edu. The terms of employment are very competitive and include housing and educational subsidies for children. Applications will be accepted immediately and candidates will be considered until the position is filled. Please visit our website at https://nyuad.nyu.edu/en/about/careers/postdoctoral-and-research.html for instructions and information on how to apply. About NYU Abu Dhabi https://nyuad.nyu.edu/en/ NYU Abu Dhabi is the first comprehensive liberal arts and research campus in the Middle East to be operated abroad by a major American research university. Times Higher Education ranks NYU among the top 30 universities in the world, making NYU Abu Dhabi the highest-ranked university in the UAE and MENA region. NYU Abu Dhabi has integrated a highly selective undergraduate curriculum across the disciplines with a world center for advanced research and scholarship. The university enables its students in the sciences, engineering, social sciences, humanities, and arts to succeed in an increasingly interdependent world and advance cooperation and progress on humanity’s shared challenges. NYU Abu Dhabi’s high-achieving students have come from over 120 countries and speak over 100 languages. Together, NYU's campuses in New York, Abu Dhabi, and Shanghai form the backbone of a unique global university, giving faculty and students opportunities to experience varied learning environments and immersion in other cultures at one or more of the numerous study-abroad sites NYU maintains on six continents.  NYUAD is committed to upholding a culture of non-discrimination, anti-harassment, dignity, and mutual respect; providing equal access and opportunity; and fostering academic excellence in learning, research, and teaching. UAE Nationals are encouraged to apply.

About the role We are seeking an organised, detail‑oriented Clinical Research Data Integration Coordinator to work within the Cancer B‑cell Group on the CRUK Accelerator Programme “Early Cancer Research Initiative Network on Monoclonal B‑cell Lymphocytosis (ECRIN‑M3)”, led by Professor Francesco Forconi. You will be based in the School of Cancer Sciences, working closely with clinicians, scientists and data specialists to turn real‑world clinical information into clean, analysis‑ready research datasets from patients with leukaemia (e.g. Chronic lymphocytic leukaemia) and lymphomas (e.g. Follicular lymphoma). Your primary responsibility will be to systematically extract and curate clinical data from medical records (electronic patient record systems and, where applicable, paper notes) and integrate these data into research databases and linked study systems. You will play a central role in maintaining data quality, provenance, and completeness, ensuring robust, reproducible data flows from recruiting sites. For candidates with relevant interest and experience, there will be opportunities to contribute to analysis support (e.g., descriptive analyses, QC/consistency checks, basic survival summaries) and to develop/manage data pipelines (ETL, validation rules, automation, dashboards) in collaboration with the Clinical Informatics Research Unit (CIRU). What you’ll do Extract and abstract clinical variables from medical records into structured formats aligned to the protocol and data dictionaries. Curate, validate and reconcile clinical data with laboratory/biomarker and study datasets; resolve data queries with clinical teams. Integrate data into research repositories (e.g., BC Platforms) following SOPs, with clear documentation of provenance and versioning. Maintain data dictionaries, mapping tables and coding standards. Monitor completeness and quality; run routine QC/consistency checks; manage data corrections and audit trails. Liaise with recruiting sites, research nurses and international collaborators to support timely, accurate data flows. Adhere to information governance, confidentiality and research ethics requirements (e.g., GDPR, ethical approvals, data access controls). Contribute to analyses, dashboards and automated validation/ETL pipelines using SQL/Excel and/or R/Python, support simple visualisations and reports for investigators. About you Experience extracting/abstracting data from electronic medical records and/or clinical notes into structured datasets.  Meticulous attention to detail; comfortable navigating diverse clinical documentation.  Working knowledge of clinical terminologies/coding (e.g., ICD‑10, SNOMED CT, CTCAE); familiarity with haematology/oncology concepts is desirable.  Confident with Excel and at least one research data environment (e.g., SQL‑based tools, ALEA, BC Platforms, or similar data capture/warehouse systems).  Understanding of GDPR, confidentiality, research governance and data security in a clinical research setting.  Clear communicator who builds strong relationships with clinicians, research nurses and data specialists, and escalates appropriately when decisions or approvals are needed Self‑starter who takes ownership and progresses work independently, drawing on guidance and support from CIRU and the wider team when needed Proactive and solution‑focused, able to plan and prioritise workload, anticipate blockers, and propose pragmatic improvements to data capture, validation and workflows Desirable: basic scripting in R or Python; experience writing SQL for data cleaning/QC; exposure to survival/epidemiological concepts; experience with haematological malignancies or early cancer research About us A collaborative team spanning Cancer B‑cell immunology, genomics, molecular/cellular biology, bioinformatics and clinical informatics. The environment combines strong clinical engagement with modern data infrastructure to generate high‑quality real‑world datasets that inform patient care and translational research. We value diversity We welcome applications from all sections of the community and support flexible working where possible. If we receive a high volume of applications, we may close the vacancy early—please apply as soon as you are ready.

At the University of Vienna, almost 11,000 people work together on the big questions of the future. Approximately 7,700 of them are academic staff members. These are individuals who, with their curiosity and their continuous pursuit of excellence, engage in international cutting-edge research and teaching. With us, you will also find space to unfold your potential. We are looking for a/an ... University Assistant postdoctoral 45 Faculty of Philological and Cultural Studies Startdate: 01.05.2026 | Working hours: 40 | Collective bargaining agreement: §48 VwGr. B1 lit. b (postdoc) Limited until: 30.04.2032 Reference no.: 5326 Explore and teach at the University of Vienna, where over 7,500 brilliant minds have found a unique balance of freedom and support. Join us if you’re passionate about groundbreaking international research and academic excellence. Ready to be part of our team? Let’s shape the future together! Your area of responsibility As a postdoctoral university assistant (40 hours, full-time), you will work in research, teaching and administration at the Department of Near Eastern Studies of the University of Vienna. As a center for the study of the Near and Middle East, including North Africa, the Department of Near Eastern Studies at the University of Vienna is not only the only institution of its kind in Austria, but also one of the largest such centers in Central Europe. Our research and teaching focuses on Ancient Near Eastern Studies, Arabic and Islamic Studies, as well as Turkish and Ottoman Studies. The Department of Near Eastern Studies is part of the Faculty of Philology and Cultural Studies of the University of Vienna. Through numerous research collaborations with academic institutions worldwide, the department is well connected internationally. Staff and students appreciate the diversity of subjects taught, the interdisciplinary outlook, as well as the international and collegial nature of exchange at our department. Your responsibilities will include supporting the Chair of Cultural and Intellectual History of the Islamic World in research and teaching, including student supervision and participation in administrative duties at the department. You will be expected to teach independently and to establish and develop an independent research profile in the field of cultural and intellectual history of the Islamic world. Your future tasks: You will actively participate in research, teaching and departmental administration. This means: Supporting the Chair in Cultural and Intellectual history of the Islamic World. Developing an independent research profile in the field of Cultural and Intellectual history of the Islamic World. International publication and lecturing activities. Participation in the FWF Cluster of Excellence ‘EurAsian Transformations’. Supporting the acquisition of third-party funding. Preparing a habilitation in the field of Cultural and Intellectual history of the Islamic world. Preparing and carrying out teaching duties (in accordance with the provisions of the collective bargaining agreement of the university scientific staff). Supervising students. Participation in evaluation measures and quality assurance. Administrative tasks in research and teaching. This is part of your personality: Completed doctoral/PhD studies in Islamic Studies or a related discipline with a focus on Islamic cultural or intellectual history Excellent knowledge of Arabic, as well as knowledge of another language (e.g. Persian, Turkish) Outstanding dissertation Research focus on the religious, cultural and intellectual history of the pre-modern Islamic world Research expertise, as demonstrated through international (peer-reviewed) publications & independent research initiatives Experience in research management Experience in organising workshops, conferences and lecture series Experience in independent teaching; excellent teaching skills Excellent English skills; a high level of written and oral communication skills Good German skills, or a commitment to achieve B2 level German within three years of the start date  What we offer: Work-life balance: Our employees enjoy flexible working hours, remote/hybrid and/or part-time work (upon agreement). Inspiring working atmosphere: You are a part of an international academic team in a healthy and fair working environment. Good public transport connections: Your workplace in the center of beautiful Vienna is easily accessible by public transport. Internal further training & Coaching: Opportunity to deepen your skills on an ongoing basis. There are over 600 courses to choose from – free of charge. Fixed-term contract and fair salary: The basic salary of EUR 5.014,30 (14 times a year) for a period of 6 years increases if we can credit professional experience. Equal opportunities for all: We welcome every additional/new personality to the team! It is that easy to apply: With your cover letter (max. 2 pages) With your curriculum vitae With your list of publications With a summary of research interests and a short description of your project for habilitation (max. 3 pages, excluding literature) With your PhD dissertation, and confirmation of the completion of your PhD/doctoral degree Contact details of two referees Via our job portal / Apply now - button If you have any questions, please contact: Katharina Ivanyi katharina.ivanyi@univie.ac.at We look forward to new personalities in our team! The University of Vienna has an anti-discriminatory employment policy and attaches great importance to equal opportunities, the advancement of women and diversity. We place particular emphasis on enhancing women’s representation among the academic and general university staff, particularly in leadership roles, and therefore expressly encourage qualified women to apply. Given equal qualifications, preference will be given to female candidates. University of Vienna. Space for personalities. Since 1365. Data protection ​Application deadline: 03/12/2026 Post Doc