Postdoctoral Fellow (4-CYTE Collaborativ
Indexed description
Number: 201104851 Employment Status: Full Time Job Family: Faculty
Position Overview The Department of Biomedical Sciences is seeking
individuals to join our group of neuroscientists seeking to solve grand
challenges in neuroscience, healthcare, and computing. The successful
applicants will contribute to this effort by creating new AI/ML models
to analyze large experimental and clinical datasets, as well as simulate
brain molecules, cells, and circuits, to deepen our understanding of
brain function. These efforts aim to accelerate the discovery of novel
therapeutics and uncover new ways to harness biological principles for
advancing computation, including neuromorphic computing. Successful
candidates will contribute to cutting-edge research and technology
creation at the intersection of neuroscience and AI, with opportunities
for innovation and collaboration across multiple disciplines. Candidates
are expected to have experience in cutting edge AI technologies and
their applications in healthcare. Duties and Responsibilities - Develop
AI/ML Models: Create models for neuroscience and neuromorphic
computing. - Simulate Brain Systems: Model brain molecules, cells, and
circuits. - Analyze Diverse Data: Work with clinical, omics, and imaging
data. - Advance Therapeutic Discovery: Apply AI to identify new
treatments. - Develop Computational Tools: Build AI-powered neuroscience
and educational tools. - Collaborate Across Disciplines: Work with
Neuroscientists, Clinicians, And Engineers. - Publish Research Findings
Share results in journals and conferences. - Mentor and Train: Guide
Junior Researchers And Graduate Students. Required Knowledge, Skills And
Abilities - AI/ML Expertise: Strong knowledge of advanced machine
Learning, Deep Learning, And AI Techniques. - Programming Skills
Proficiency in Python, TensorFlow, PyTorch, or similar frameworks. - MS
or higher degree (PhD preferred) degree in Computational Neuroscience,
Computer Science, Bioinformatics, or a related field with demonstrated
ability to implement and optimize AI/ML models for biomedical datasets.
Preferred Knowledge, Skills And Abilities - Mathematical Modeling
Strong foundation in numerical modeling, graph theory, and statistics. -
Algorithm Development: Ability to design and optimize AI/ML models for
neuroscience. - Scientific Writing & Communication: Ability to publish
research and present findings. - Basic knowledge of neuroscience -
Ability to work collaboratively in a research-oriented environment -
Strong problem-solving and analytical skills - Passion for exploring new
concepts in AI and neuroscience - Experience with hardware acceleration
techniques - Familiarity with computational neuroscience tools and
libraries - Experience with large-scale clinical, omics, or imaging
datasets. - Interdisciplinary Collaboration: Experience working as a
member of an interdisciplinary team Department: Biomedical Sciences
Posting Date: 08/19/2026 Closing Date: To apply, visit
https://apptrkr.com/9783290 It is the policy of Marquette University to
provide equal employment opportunities (EEO) to all employees and
applicants without regard to race, color, religion, sex, sexual
orientation, gender identity, national origin, disability, protected
veteran status or any other applicable federal or state-protected
classification. je-35cdaedc163341a9a5039089cfa7c155 \*\*\*\*\*
APPLICATION INSTRUCTIONS: Apply Online: https://apptrkr.com/9783290
Qualified females, minorities, and special disabled veterans and other
veterans are encouraged to apply.
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