MATLAB Jobs

I’m developing a hydrogen fuel-cell drone dedicated to long-range surveillance across mixed terrain, and I need an expert who can take the concept from rough outline to flight-ready platform. The aircraft must stay aloft far longer than standard Li-ion multirotors, carry an optical payload suited to detailed observation at distance, and handle transitions between open rural zones and cluttered urban fringes without losing signal or stability. I already know the broad performance targets— extended endurance, silent operation, and a minimum control radius matching typical BVLOS requirements— but I’m looking for someone who can translate those targets into concrete engineering decisions. You will be responsible for: • Selecting and sizing the hydrogen fuel cel...

I’m in the final stretch of my M-Tech and need a radar engineering student to cover me through the dissertation stage. The core of the work is Single module radars, with a tight emphasis on Waveform Analysis. The scope of the dissertation to be covered is as following. 1 Conceptual Modelling of Single Module Radar Architecture without hardware implementation. 2 Radar Signal Generation and Target Echo Simulation using MATLAB. 3 Digital Radar Signal Processing Card Emulation. 4 Performance Evaluation and Algorithm Validation, supported by simulation results.

Sessions will revolve around linear algebra, calculus, and probability as presented in the open-access text , always tying theory back to practical machine-learning use-cases. I am a Beginner and progress fastest through Kinesthetic (hands-on activities), so each concept should be paired with worked examples, code snippets in Python or MATLAB where relevant, and plenty of guided problem practice. What I need from you • Live, interactive lessons that unpack the core ideas behind vectors, matrices, multivariable calculus, limits, derivatives, integrals, random variables, and distributions, then connect them to algorithms such as gradient descent, PCA, and logistic regression. • Custom practice sets after every session, plus detailed walk-throughs of the solutions. • Bri...

Sessions will revolve around linear algebra, calculus, and probability as presented in the open-access text , always tying theory back to practical machine-learning use-cases. I am a Beginner and progress fastest through Kinesthetic (hands-on activities), so each concept should be paired with worked examples, code snippets in Python or MATLAB where relevant, and plenty of guided problem practice. What I need from you • Live, interactive lessons that unpack the core ideas behind vectors, matrices, multivariable calculus, limits, derivatives, integrals, random variables, and distributions, then connect them to algorithms such as gradient descent, PCA, and logistic regression. • Custom practice sets after every session, plus detailed walk-throughs of the solutions. • Bri...