Johns Hopkins University

Job Description DEPARTMENT OF PHYSICS The JC STEM Lab of Neuronal Circuit Dynamics under the leadership of Prof. Thomas Knopfel is inviting applications for several Postdoctoral positions: Post-Doctoral Research Fellow in theoretical or computational neuroscience / Post-Doctoral Research Fellow in mouse in vivo experimental neuroscience / Post-Doctoral Research Fellow in molecular experimental neuroscience (23240033) Understanding how adaptive and maladaptive behavior emerges from the operation of neuronal circuits is a central topic across different sub-disciplines within neuroscience. Our laboratory's research program capitalises on the establishment of cutting-edge optical technologies based on engineered molecular reporters that convert electrical signals of neurons into optical signals. Electrical signals captured from the brain of mice while they engage in different behaviors such as perception, learning and execution of tasks, as well as social interactions are analysed using advanced computational methods to address and derive theoretical models and predictions. For this line of research we are seeking several postdoctoral researchers to work synergistically both within the team and with our collaborating teams. The work will entail using novel neurotechnology and approaches to conduct multi-level investigations to address big questions in neuroscience. Successful candidates will be a part of a highly interdisciplinary collaborative teamworking environment that values effective communication, integrity and equality. i) Theoretical/computational neuroscientist (one post) We seek a theoretical/computational neuroscientist with a strong mathematical and computational background. Candidates with an interest in understanding the overlap and differences between natural and artificial intelligence are particularly encouraged to apply. ii) Mouse in vivo experimentalist (one post) For in vivo experimental work, we wish to recruit a skilled experimenter with strong biological background and an analytical approach to technical challenges. Previous experience with mouse in vivo experiments is necessary. Previous experience with neuronal activity optical imaging, particularly head-fixed imaging, is desirable. iii) Molecular experimentalist (one post) At the molecular level, we work on the premise that the physical substrate of mind sets (diversity of personalities) involves epigenetic modification in neuronal circuits3. To test this emerging research field and to interface work in line with the above theoretical and experimental neuroscience topics, we are seeking an individual with experience (or strong interest) in nanopore based DNA methylation analysis and previous bioinformatics training. Requirements: PhD in a STEM subject. Candidates with degrees in neuroscience, data science, bioinformatics, and computational biology are particularly encouraged to apply; Knowledge of scientific background relevant to the research area; Original research published or under revision in a reputable journal; Good English communication skills and strong critical thinking ability; and Ability to prioritise and work collaboratively in a diverse workforce. Please address informal inquiries to Prof Thomas Knopfel via email tknopfel@knopfel-lab.net. Salary will be commensurate with qualifications and experience. Optical voltage imaging in neurons: moving from technology development to practical tool. doi: 10.1038/s41583-019-0231-4. Cortex-wide spontaneous activity non-linearly steers propagating sensory-evoked activity in awake mice. doi: 10.1016/j.celrep.2022.111740. https://en.wikipedia.org/wiki/Behavioral_epigenetics Application Procedure: Applicants are invited to submit their applications at the HKBU e-Recruitment System. Those who are not invited for interview 8 weeks after submission of application may consider their applications unsuccessful. Details of the University's Personal Information Collection Statement can be found at https://hro.hkbu.edu.hk/en/worklife-at-hkbu/employee-favourable-environment.html#privacy-policy.  The University reserves the right not to make an appointment for the posts advertised, and the appointment will be made according to the terms and conditions applicable at the time of offer.  Review of applications is ongoing until the position is filled.

Job Description SCHOOL OF CHINESE MEDICINE TEACHING AND RESEARCH DIVISION The School of Chinese Medicine (SCM) was established in 1999 and offers comprehensive education programmes in Chinese medicine, including both undergraduate and postgraduate degree programmes in Chinese Medicine and Pharmacy in Chinese Medicine. The School is engaged in a wide range of research projects, provides Chinese medicine healthcare services to the community, and seeks to foster modernisation of the Chinese medicine profession. To consolidate the strengths of innovative research, the School has established eight high quality theme-based Research Centres equipped with advanced equipment and facilities. The highlighted strategic research areas in the School include (1) Precision medicine and phenomics study; (2) Translational medicine and innovative drug discovery; and (3) Authentication and testing of Chinese medicines. Associate Professor / Assistant Professor (23240130) To strengthen the research capacity, power the current research disciplinaries of SCM and keep up with the evolving global research environment of Traditional Chinese Medicine (TCM), the School is hiring a full-time faculty member at Assistant Professor level or above related to data science and/or computational chemistry. The data science expert, preferably with research experience in Chinese Medicine-related projects, will interact closely with the current faculty members on collaborative research projects to bring breakthrough efforts in the modern Chinese medicine research field. Candidates should possess a PhD degree in or related areas and relevant postdoctoral training with experience in and a strong understanding of bioinformatics, biostatistics, computational drug discovery and translational research. Preference will be given to candidates with appealing external grant records, outstanding publication and leading potential in research areas of clinical or populational studies with innovative therapeutic interventions. Overseas experience in world-class universities and good English communication skills are highly desirable. The appointee is also expected to teach subjects at both undergraduate and postgraduate levels, establish a vigorous research program in the areas of interest, and develop research cluster by collaborations within and outside the School. Application will be open until the position is filled. This is a tenure-track position with an initial appointment on a fixed-term contract of two to three years. Re-appointment thereafter will be subject to mutual agreement. Tenured appointment is expected to be attained within six years. Outstanding candidate at Associate Professor may be considered for tenure on appointment. Rank and salary will be commensurate with qualifications and experience. Application Procedure: Applicants are invited to submit their applications at the HKBU e-Recruitment System with samples of publications, preferably three best ones out of their most recent publications/works. Applicants should also request two referees to send in confidential letters of reference, with Job Identification number (stated above) quoted on the letters, to the Human Resources Office (Email: recruit@hkbu.edu.hk) direct. Those who are not invited for interview 4 months after the submission of application may consider their applications unsuccessful. All application materials including publication samples, scholarly/creative works will be disposed of after completion of the recruitment exercise. Details of the University's Personal Information Collection Statement can be found at https://hro.hkbu.edu.hk/en/worklife-at-hkbu/employee-favourable-environment.html#privacy-policy. The University reserves the right not to make appointments for the posts advertised, and the appointments will be made according to the terms and conditions applicable at the time of offer. Review of applications is ongoing until the position is filled.

Associate Professor / Professor – Artificial Intelligence/ Machine Learning, Computer Science (Teaching Track) Illinois Institute of Technology – Mumbai Campus About the University Illinois Institute of Technology (Illinois Tech), based in Chicago, USA, is a private, Ph.D.-granting research university 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 invites applications for Associate Professor and Professor level teaching-track faculty positions in Artificial Intelligence and Machine Learning. 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 Artificial Intelligence, Machine Learning, and related areas of Computer Science. Candidates should demonstrate a strong commitment to teaching excellence, student mentorship, and curriculum development. Senior faculty will also contribute to academic leadership, program development, and mentorship of junior faculty, helping to build strong AI and ML programs at Illinois Tech’s Mumbai campus. Courses will be delivered in person in Mumbai, India. Online teaching is not an option. Key Responsibilities Teach undergraduate and graduate courses in Artificial Intelligence and Machine Learning Deliver courses in areas such as: Machine Learning Deep Learning Advanced Artificial Intelligence Natural Language Processing (NLP) Data Preparation and Data Analysis Contribute to curriculum development and course design for AI and ML programs Mentor and advise undergraduate and graduate students Participate in departmental, college, and campus service activities Provide academic leadership and mentorship to junior faculty Support the development and growth of Illinois Tech Mumbai academic programs 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 expertise in Artificial Intelligence and Machine Learning Strong communication and interpersonal skills Ability to teach advanced AI and machine learning courses For Associate Professor and Professor-level candidates, the following are preferred: Significant experience teaching undergraduate and graduate AI/ML courses Evidence of curriculum development or academic leadership Experience mentoring students and junior faculty A record of scholarly or professional contributions in AI, machine learning, or data science Application Requirements Applicants must submit the following materials: Cover Letter Curriculum Vitae (CV) Teaching Statement detailing teaching experience, teaching philosophy, and teaching interests Names and contact information for three or more professional references The faculty will deliver courses in person in Mumbai, India. Online delivery is not an option. If you are unable to upload the documents, please share your application pack at careers@daskalos.com