Can Tho University of Medicine and Pharmacy

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 primary responsibility of this role is to deliver an industry innovation research project as part of a research team developing molecular and sequencing workflows for microbial characterization. The work supports the rapid detection of microbial bioburden in biopharmaceutical cleaning validation using a Surface-Enhanced Raman Spectroscopy (SERS) biosensor platform. Responsibilities include next-generation sequencing (NGS), qPCR-based molecular assays for microbial quantification and aptamer validation, and experimental support for aptamer discovery targeting environmental microorganisms listed in the US Pharmacopeia. Key Responsibilities Technical Responsibilities Perform microbial community characterization using next-generation sequencing (NGS) platforms such as Illumina sequencing or Oxford Nanopore sequencing.  Design and perform qPCR-based molecular assays for microbial quantification and aptamer validation. Prepare DNA sequencing libraries, including nucleic acid extraction, amplification, and library preparation.  Conduct basic bioinformatics processing of sequencing data, including sequence quality control and taxonomic profiling where required. Support aptamer discovery and validation experiments, including nucleic acid preparation, amplification, and molecular characterization. Perform routine molecular biology techniques such as PCR, gel electrophoresis, DNA purification, and nucleic acid quantification. Maintain accurate laboratory records and experimental documentation. Research & Project Responsibilities Plan and execute experimental workflows to support project milestones related to microbial detection and biosensor development. Contribute to sequencing-based microbial profiling of environmental and cleaning validation samples. Work collaboratively with project investigators and interdisciplinary teams to integrate sequencing and molecular biology results with biosensor development. Prepare technical reports and contribute to scientific publications, presentations, and project documentation. Support generation of experimental data required for project validation and milestone reporting. Operational Responsibilities Ensure laboratory compliance with Work Safety and Health (WSH) regulations and institutional safety guidelines. Manage procurement and inventory of molecular biology and sequencing consumables. Maintain laboratory equipment used for molecular biology and sequencing workflows. Mentorship Support training of junior researchers, research assistants, and students where required.  Contribute to knowledge sharing within the research group. To communicate in any relevant internal or external stakeholders to ensure project deliverables are met. Any ad-hoc duties assigned by Supervisor. Job Requirements Essential Bachelor’s degree in Molecular Biology, Microbiology, Biotechnology, Bioengineering, or a related field. Possessing a Master’s or PhD degree will be advantageous Hands-on experience with next-generation sequencing technologies, such as Illumina or Oxford Nanopore sequencing platforms including sequencing library preparation Demonstrated experience working with environmental or low-biomass microbial samples. Demonstrated experience with DNA extraction and PCR amplification Demonstrated experience performing qPCR assays for nucleic acid quantification and molecular analysis, including troubleshooting Demonstrated experience with aptamer technologies or nucleic acid-based molecular recognition systems. Strong laboratory skills in molecular biology techniques. Preferred  Familiarity with microbial community sequencing workflows such as 16S rRNA sequencing or metagenomic analysis. Demonstrated experience with bioinformatics tools for sequencing data processing (e.g., quality control, taxonomic classification, microbial community analysis).  Demonstrated experience working in interdisciplinary or industry-linked research projects. Key Competencies Strong experimental design and troubleshooting skills in molecular biology.  Ability to independently conduct laboratory experiments and manage datasets. Strong scientific communication skills, including technical reporting and presentations. Ability to collaborate effectively with multidisciplinary research teams. Good organizational and project management skills.

Associate Professor / Professor – Advanced Computer Science (Teaching Track) Illinois Institute of Technology – Mumbai Campus About the University Illinois Institute of Technology (Illinois Tech) is a private, Ph.D.-granting research university based in Chicago, USA, with globally recognized programs in architecture, engineering, computing, sciences, humanities and social sciences, psychology, business, law, and design.Illinois Tech is ranked #1 in Illinois and #23 nationally in The Wall Street Journal’s “America’s Best Colleges 2024.” The College of Computing at Illinois Tech is expanding its global presence through the establishment of a new campus in Mumbai, India. The Mumbai campus will offer the following degree programs: Bachelor’s in Computer Science Master’s in Computer Science Bachelor’s in Artificial Intelligence Master’s in Artificial Intelligence Master’s in Data Science To support these programs, Illinois Tech is seeking experienced teaching-track faculty at the Associate Professor and Professor levels in Computer Science and Artificial Intelligence. Position Summary Illinois Institute of Technology invites applications for Associate Professor and Professor teaching-track faculty positions at its Mumbai campus.These positions focus on delivering high-quality undergraduate and graduate instruction in Computer Science, Artificial Intelligence, and Data Science, while contributing to curriculum development and the growth of Illinois Tech’s academic programs in Mumbai.Candidates should demonstrate a strong commitment to teaching excellence, student engagement, and academic leadership. Senior faculty members will also play a key role in mentoring junior faculty, contributing to program development, and strengthening the academic environment of the new campus. Courses will be delivered in person in Mumbai, India. Online teaching is not an option. Key Responsibilities Teach undergraduate and graduate courses in Computer Science, Artificial Intelligence, and Data Science Develop and update course materials to maintain high academic standards Contribute to curriculum design and program development Mentor and advise undergraduate and graduate students Participate in departmental, college, and campus service activities Provide academic leadership and mentorship within the teaching faculty Support the continued development and growth of the Illinois Tech Mumbai academic programs Special consideration will be given to candidates with teaching or research interests in: Algorithms Science of Programming Computer Vision Machine Learning Qualifications Applicants must have: A Ph.D. in Computer Science or a closely related field by the start of the appointment Demonstrated excellence in university-level teaching Strong communication and interpersonal skills Ability to teach core and advanced computer science courses For Associate Professor and Professor-level candidates, the following are strongly preferred: Significant experience teaching undergraduate and graduate courses Evidence of curriculum development or academic leadership Experience mentoring students and junior faculty A strong record of scholarly or professional contributions in computer science Application Requirements Applicants should submit the following materials: Cover Letter Curriculum Vitae (CV) Teaching Statement describing teaching experience, teaching philosophy, and teaching interests Documents mentioning names and contact information for at least three professional references If you are unable to upload the documents , please share your application pack at careers@daskalos.com

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. Key Responsibilities Participate in and manage the research project with the Principal Investigator (PI), co-PIs, research team and industry partners to ensure all project deliverables are met. Conduct insights-driven evaluations of existing QA/QC testing practices and identify opportunities to enhance efficiency and reduce redundant testing while maintaining compliance. Curate, standardize and integrate historical and statistical data to form the foundation of a structured database for construction QA/QC and traceability. Design and implement a digital chain-of-custody framework that captures assurance records including mill certificates, fabrication data, inspection results and carbon footprint information. Develop, train and validate AI models to automate QA/QC processes, enabling real-time verification, anomaly detection and consistency checks across records. Develop a cloud-based verification platform for digital data collection and real-time analytics. Develop and apply non-destructive testing (NDT) methods and data-driven approaches to determine material properties of reclaimed steel. Investigate geometric imperfections, accumulated deformations, and their impact on structural performance, particularly for compression members. Develop data-driven reusability assessment platforms integrating NDT data, machine learning models, and RFID-enabled traceability systems. Prepare and draft technical reports, conference/journal papers, and presentation materials; present research findings to internal reviews, industry partners and stakeholders. Engage with industry stakeholders throughout development, testing and refinement to ensure alignment with real-world requirements. To communicate in any relevant internal or external stakeholders to ensure project deliverables are met. Any ad-hoc duties assigned by Supervisor.  Job Requirements Master’s degree in Computer Science, Data Science, Civil/Construction Engineering, Engineering Systems or equivalent. Strong foundation in data engineering, AI/ML development, and software systems (e.g., data pipelines, cloud services, dashboards, web-based application development). Experience in handling real-world datasets and model development/deployment workflows. Domain expertise in building construction/civil/structural engineering, including familiarity with building management systems, software integration, data collection and analysis. Knowledge of construction QA/QC and quality control workflows (e.g., inspection processes, test documentation, traceability and compliance records) is an advantage. Strong background in structural engineering, structural mechanics, or steel structures. Familiarity with non-destructive testing (NDT) techniques for structural materials is desirable. Experience with structural modelling and analysis tools (e.g., finite element modelling, structural simulation) is desirable. Good interpersonal, written and verbal communication skills, with the ability to work independently and in multidisciplinary teams. Strong analytical and conceptual abilities; able to work both in a team and independently. Able to work under pressure and meet deadlines. Key Competencies Proficient in Python or other equivalent programming languages. Strong foundation in data analytics and data-driven modelling. Able to build and maintain strong working relationships with people within and external to the university. Able to work independently with strong data analytical skills, communication and interpersonal skills. 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.