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such as Lumerical Interconnect, Vpi, Matlab, and Python to ensure the feasibility and performance of these systems. Validation and testing: Perform experimental validation of proposed concepts using
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dimensionality reduction as well as analysis of blood proteomic data. We are looking for a student with experience in bioinformatics and relevant statistical methods using R or Python languages. Some knowledge of
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with or experience in any of the following topics is valuable: optics (lab work, design), mechanics (e.g. CAD software), software (e.g. Python scripting), astronomical/spectroscopic data reduction and
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, or cybersecurity Ability to develop prototypes in Python (e.g. with PyTorch, LangChain or similar frameworks) Familiarity with LLM prompting, RAG pipelines, or goal-driven agentic workflows is a plus Excellent
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. You have strong programming skills in C/C++, Python, and/or Matlab. Knowledge of machine learning libraries (e.g., PyTorch or TensorFlow), SDR hardware (e.g., USRP, ADALM-Pluto) and software (e.g
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Physics. You also have programming experience (Python, ...). You are preferably familiar with the Linux operating system and DFT codes such as VASP, ABINIT, etc. Experience with the use of a high
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, or related field Experience with in vivo imaging, electrophysiology, optogenetics, or behavioral assays Strong data analysis skills (Python, MATLAB) Preferred Qualifications: Experience with stem
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(Python, MATLAB) for behavioral data analysis Preferred Qualifications: Experience with rodent behavior assays Familiarity with tools like DeepLabCut, MoSeq, or Kinect-based systems Interest
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behavioral neuroscience, development, or ASD Programming experience (Python, MATLAB) for behavioral data analysis Preferred Qualifications: Experience with rodent behavior assays Familiarity
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(Python, MATLAB) Preferred Qualifications: Experience with stem cell–derived neurons or xenotransplantation Interest in cortical circuit plasticity or ASD models Background in sensory