SUNY Alfred State College

Department: First Department of Surgery – Faculty of Medicine Deadline: 5 Apr 2026 Start date: Upon agreement Job type: full-time Job field: Science and research | Education and schooling Director of the St. Anne's University Hospital in Brno and Dean of the Faculty of Medicine of Masaryk University announces a selection procedure for the position: Head of the Second Department of Surgery The Second Department of Surgery is a therapeutic, educational and research clinic of the St. Anne's University Hospital in Brno and the Faculty of Medicine of MU. It is a highly specialized workplace on the issue of vascular diseases. The main activities are vascular-surgical programs. In cooperation with interventional radiologists and angiologists, the clinic provides comprehensive care for vascular patients, including 24-hour permanent service for acute vascular events within the region and supraregionally. As an accredited workplace, it provides undergraduate and postgraduate education in vascular surgery, is involved in scientific research activities and participates in the solution of international randomized multicenter studies. II. The surgical clinic is a part of the Complex Cardiovascular Center and the Cerebrovascular Center established by the Ministry of Health of the Czech Republic. The Department Head position candidate must be a respected expert in the field of surgery, with experience of working in a given area and with expertise in pre-graduate and postgraduate education. The Head of the department will be responsible for the management of the clinic, undergraduate medical education, doctoral studies, publishing and coordination of research conducted at the clinic. The Candidate for Department Head will present his/her idea of fulfilling the above during the selection process. Requirements for a declared position: University education in general medicine or equivalent education acquired abroad; Eligibility to pursue the profession of physician in the relevant field in accordance with Section 5 of Act No. 95/2004 Coll.; Academic degree PhD or scientific rank of CSc; Habilitation within the meaning of Act No. 111/1998 Coll., on Higher Education, the scientific-pedagogical title of professor is an advantage; Personal and professional requirements for managing the medical and academic team of the clinic; Teaching experience and readiness to guarantee vocational subjects taught at the workplace; Scientific and publishing activities in the given field Active knowledge of the Czech language; Moral integrity; Fulfilment of prerequisites according to Act No. 451/1991 Coll. (the Lustration Act); does not have to document persons born after 1 December 1971 and foreign applicants. We offer: Work in an inspiring intellectual environment with an emphasis on multi-disciplinary cooperation; Work in a top medical and educational workplace, with involvement in teaching in a unique simulation centre; Professional growth and the possibility of continuous education (including language); Motivating financial remuneration; Workplace within easy reach of public transport, accommodation near the hospital; Strong emphasis on the safety and health of workers in the workplace, support for family policy; Supplementary pension insurance and life insurance, sick days, holiday allowance and other benefits. Applications together with a structured CV, an overview of scientific and publishing activities, contact details of two persons for references (name, position, telephone number), photocopies of qualification papers and diplomas (external applicants only), a valid licence issued by the Czech Medical Chamber for the position of Head Physician or Chief Physician (or proof of having applied for the licence), a criminal record (no older than three months), certificate according to Act No. 451/1991 Coll. (he so-called Lustration Act; persons born after 1 December 1971 and foreign applicants do not have to provide proof), should be sent to the HR department of the Faculty of Medicine via the e-Application (see below) or a paper form. For more information, please contact Adela Otáhalová at e-mail: adela.otahalova@med.muni.cz

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT. The researcher will be part of the team of the MCCS NATURE Project (https://www.nparks.gov.sg/Cuge/Programmes-Schemes/Research%20Programmes/MCCS%20Programme). The primary role involves developing and validating CFD models to study wave attenuation by mangroves, seagrass, and coral. Responsibilities include calibrating simulations with experimental data, analyzing shear coefficients and drag forces, and contributing to interdisciplinary research on coastal protection, with an emphasis on delivering accurate and impactful modeling insights. Key Responsibilities Participate in and manage the research project with Principal Investigator (PI), Co-PI and the research team members to ensure all project deliverables are met. Undertake these responsibilities in the project: 1. Wave Stochastic Analysis and Hydrodynamics Conduct advanced stochastic analysis of wave environments to evaluate the performance of floating structures. Analyze hydrodynamic behavior of floating breakwaters under varied sea conditions. 2. CFD and Finite Element Modeling Perform Computational Fluid Dynamics (CFD) simulations to optimize the design and performance of floating breakwaters. Develop finite element models for stability assessment, structural integrity, and dynamic response of floating systems. 3. Connector Design Design and analyze mechanical connectors for the integration of multi-purpose floating breakwater systems, ensuring structural stability and durability. 4. Design and Integration Develop innovative designs for floating breakwaters that integrate wave energy converters (WECs), tidal energy systems, and solar energy platforms. Optimize design configurations to maximize energy harnessing and wave attenuation. 5. Experimental Testing Plan and conduct physical model tests in wave flumes or basins to validate computational models. Analyze experimental data to improve and validate the floating breakwater design. 6. Research Documentation and Dissemination: Prepare technical reports, research papers, and presentations to disseminate findings to academic and industry stakeholders. Contribute to project proposals and progress updates for funding agencies. Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations. 7. Project Management Support: Ensure timely execution of project milestones Coordinate with external collaborators and manage data-sharing protocols. Work independently, as well as within a team, to ensure proper operation and maintenance of equipment. Job Requirements PhD/Master’s in Naval Architecture, Ocean Engineering, Civil Engineering, or related field. Proficiency in hydrodynamic modeling tools (e.g., ANSYS AQWA, OrcaFlex) and finite element analysis software (e.g., Abaqus, ANSYS). Experience with stability and mooring system design. Strong analytical skills and familiarity with data collection instruments and techniques. Excellent communication and report-writing abilities. Good understanding of industry standard will be an advantage Ability to work independently and in teams in both lab and field environments. Excellent communication (verbal and written) and teamwork abilities Key Competencies Able to build and maintain strong working relationships with people within and external to the university. Self-directed learner who believes in continuous learning and development Proficient in technical writing and presentation Possess strong analytical and critical thinking skills Show strong initiative and take ownership of work

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.