A broad foundation.
Connected through practice.

Cellular and medical imaging, biotechnology, instrumentation and micro/nanodevices.

Protein and nucleic-acid structure, biological function and genetic regulation.

Plasmid DNA preparation, molecular analysis and practical genetic-engineering techniques.

Eukaryotic cell culture, transfection and observation of cellular functions.

Developing biotechnology experiments from the literature and presenting the approach.

Cell organisation, membranes, gene expression and cytoskeletal dynamics.

Metabolic substrates, biochemical energy production and physiological energy use.

Electronic device simulation, cleanroom fabrication and biological techniques.

Mathematical models of cellular networks and interactions between genes, proteins and RNA.

Signal transduction, second messengers and regulation of cellular responses.

Neural organisation, membrane electrical properties and cellular excitability.

Innate and adaptive immunity, antibodies and immune-system organisation.

Organ cooperation, metabolism and cardiovascular and respiratory function.

Laboratory-based experience and exposure to nanoscience research in Grenoble.

Biophysical methods for molecular structure, stability and interactions.

Electrochemical and fluorescence detection, microarrays and lab-on-a-chip assays.

Interface characterisation, surface plasmon resonance and biolayer interferometry.

Optical coherence, light–matter interactions and biophotonic measurement techniques.

Functionalising surfaces for biosensors and photocatalytic applications.

Biocompatibility and materials for implants, repair and tissue regeneration.

Microflow modelling, boundary conditions, wetting and capillarity.

Algorithm design, imperative programming, data types and control flow in C.

Building a complete C program, with make, debugging and memory analysis.

Solving ordinary and partial differential equations with numerical methods and MATLAB.

Modelling physical phenomena with MATLAB and COMSOL in a paired project.

Supervised classification, neural networks and convolutional models for medical images.

Analogue signals, distributions and linear time-invariant systems.

MATLAB-based signal analysis, AM/FM modulation and acquisition.

Sampling, discrete signals, Fourier analysis and random signals.

Discrete and fast Fourier transforms, digital filtering and practical measurements.

Designing a heart-rate measurement device from the initial specification to implementation.

Mathematical and computational methods for medical images and image transformations.

PC-based acquisition, hardware interfaces and process monitoring and control.

Circuit analysis, diodes, MOS transistors and linear electronic systems.

Building and characterising power, switching and amplification circuits.

From a specification to circuit prototyping, simulation and implementation.

Sensor conditioning, analogue signal chains and PCB design.

Sensors, differential and instrumentation amplifiers, and low-frequency measurement chains.

Analogue filtering and circuit design between a sensor and an ADC.

Characterising sensors and validating amplification in a complete measurement chain.

Sampling circuits and the principles of ADCs and DACs.

Material families, chemical bonding and the relationship between structure and properties.

Experimental methods for metals, polymers and physicochemical characterisation.

Atomic and molecular orbitals, aromatic systems and molecular reactivity.

Carrier transport, generation and recombination in semiconductor devices.

Quantum concepts, massive particles and the behaviour of electrons in solids.

Microstates, macrostates and statistical descriptions of many-particle systems.

Band structures and semiconductor behaviour underlying microelectronic components.

Maxwell equations, electromagnetic waves, material response and spectroscopy.

Ray tracing, lens systems and the capabilities and limits of optical measurement.

Chemical equilibrium, thermochemistry and stability of physicochemical systems.

Nuclear physics and interactions of charged and neutral radiation with matter.

Energy conservation, radiation, conduction and thermal diffusion.

Complex analysis and the mathematical foundations of Fourier and Laplace transforms.

Random variables, expectation, probability theory and parametric statistics.

Collaborative technical work, creativity and innovation under practical constraints.

Strategy development in the context of energy transition and industrial sovereignty.

Statistical tools and product-lifecycle approaches to equipment quality and reliability.

Quality management systems and the regulatory environment of medical devices.

Team management, leadership styles and human-resource fundamentals.

Exploring careers, professional interests and personal competencies.

Professional communication, recruitment interviews and presenting internship experience.

Creativity, market research and building a realistic business-creation project.