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to ensure the seamless integration of computational and experimental workflows. Strong programming skills in Python, PyTorch, and JAX are required, along with the ability to reason about neural network
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. Focus on genetics, genomics, evolutionary biology, or computational biology is preferred. Experience with Python, R or a different scripting language is required. Experience with mathematical modeling and
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(Python, Julia, R, or Matlab). Excellent oral and written communication skills, including the ability to analyze data and prepare figures suitable for publication. Strong quantitative and/or computational
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opportunity for publication of this suite of tools in a methodological journal. What you bring: A degree in computational sciences or equivalent (M.Sc. or Ph.D). Experience with C# and Python programming (async
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meticulous attention to detail. Proficient computer skills. Some knowledge in programming using python and/R would be ideal. Ability to work well both independently and as a member of a team. Ability to
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data analysis (MATLAB, Python, etc.) Optics and engineering (machining CNC/3D printing). Lab animal husbandry and surgical approaches (cranial implants, intracranial injections). Behavioral testing in
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tools such as Python, R, Jupyter, MATLAB, JSON, or SQL. Experience with API integration is a plus. Must be self-motivated, proactive, and willing to take on new challenges and solve problems with minimal
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tools. Experience with Python or R through coursework or projects. Strong quantitative and analytical skills, including statistical analysis. Scientific literacy and familiarity with academic research
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to a robust open-source software ecosystem; see https://ossi.janelia.org/ for more details. Strong programming skills in Python and PyTorch are required, along with the ability to reason about neural
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or Python is a plus. Proficiency with mass-spectrometer operating and tuning software; experience with Thermo Xcalibur and Orbitrap Tribrid platforms is highly preferred. Enthusiastic, self-motivated, and