Duties: Research, design, and implement algorithms in Deep Learning for Medical Image Analysis problems; Close collaboration with clinical customers to define, implement and validate clinical prototypes; Advance the state-of-the-art, including generating patents and publications in top journals and conferences; Work on large-scale, real-world problems; Fast prototyping, feasibility studies, specification and implementation of image and video analysis product components; Working on challenging and impactful clinical problems with large-scale data sets
Requirements: Ph.D. in an engineering or science field such as Computer Science, Electrical Engineering, Statistics, or Applied Math; Strong background in Deep Learning and/or Medical Image processing; 4+ years of industry experience or post-doctoral studies in Computer Vision, Machine Learning and Image Understanding preferred

Duties: Assist in the design and development of data science projects, focusing on large language models; Conduct data cleaning, preprocessing, and analysis to prepare datasets for training and testing models; Support the development and tuning of machine learning models, including but not limited to natural language processing and generation; Collaborate with the team to integrate LLMs into our products and services, ensuring they meet project specifications and user needs; Participate in research and review of the latest literature on machine learning and LLMs to propose improvements to current projects
Requirements: Currently enrolled in or recently graduated from a Bachelor's or Master's program in Computer Science, Data Science, Mathematics, or a related field; Strong foundation in machine learning, natural language processing, and statistical analysis; Experience with programming languages such as Python and libraries/frameworks like TensorFlow, PyTorch, or similar; Familiarity with data manipulation and visualization tools (e.g., Pandas, NumPy, Matplotlib)

Duties: In collaboration with industry, academia, and governments around the world, we generate and commercialize innovative technical solutions to real world problems. Our research portfolio engages multidisciplinary teams with expertise and skills that range from fundamental algorithms and understanding, to machine learning and statistics, to media analytics and systems, to devices, networks, and sensing. Our mission is to advance the frontiers of knowledge to solve complex problems addressing fundamental societal challenges and creating business value for NEC
Requirements: A PhD in computer science, electrical engineering, networking, optics, machine learning, data science, mathematics or equivalent work experience; A proven track record of collaborative research; Strong written and verbal communication skills

Duties: Provides comprehensive programming leadership and support to clinical project teams and vendors, including deployment of programming strategies, standards, specifications and programmed analysis to comply with regulatory requirements, SOPs and work practices; Independently develops, validates, troubleshoots, and maintains complex programs and utilities in accordance with predefined specifications and standards; Leads/Supports the electronic submission preparation and review; Develops unambiguous and robust programming specifications (e.g. ADaM specifications)
Requirements: Bachelor’s degree in statistics, biostatistics, mathematics, computer science or life sciences required; At least 7 years programming experience in industry including support of significant regulatory filings; For US positions: US military experience will be considered towards industry experience; Proficient knowledge of drug development process, clinical trial methodology, regulatory guidance, industry standards, statistical concepts, and medical terminology used in the analysis and submission of clinical data

Duties: The Associate Director of Biostatistics is a member of cross-functional development teams supporting neuroscience therapeutic area, and contributes to trial design, protocol development, analysis, planning, interpretation of results, and preparation of regulatory submissions. With appropriate experience, the Associate Director of Biostatistics can have responsibilities for supporting a particular indication of an asset. These individuals develop collaborative relationships and work effectively with the Biostatistics indication/asset Lead, and other cross functional team members
Requirements: PhD in Biostatistics

Duties: The Princeton University Mathematics Department invites applications from accomplished scholars in any field of mathematics to be considered for possible tenured faculty appointments
Requirements: Ph.D. in mathematics or related field. Applicants should have a well-established record of exceptional teaching and research

Duties: The Department of Mathematics at Princeton University invites applications from accomplished scholars in any field of mathematics to be considered for the inaugural Luisa and Robert Fernholz '62 Professor in Mathematics
Requirements: Ph.D. in mathematics or a related field. Applicants should have a well-established record of exceptional teaching and research