Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- CNRS
- Nature Careers
- European Magnetism Association EMA
- AGH - IMIR (Krakow)
- Arts et Métiers Institute of Technology (ENSAM)
- BRGM
- CEA
- European Synchrotron Radiation Facility
- IMT MINES ALES
- Institut Neel
- Laboratoire d'Astrophysique de Marseille
- Mines Saint-Etienne
- Université Côte d'Azur
- Université Savoie Mont Blanc
- Université d'Artois
- Université de Bordeaux - Laboratoire IMS
- Université de Caen Normandie
- 7 more »
- « less
-
Field
-
process engineering applied to dispersed systems (grains, particles, droplets, bubbles, porous media) at Mines Saint-Etienne. It also has expertise in sensors and instrumentation development. The internship
-
eco-friendly sensor technologies, favoring collaborations between local industrials and academia and building innovations between local actors to create startups on disruptive technologies. Within
-
27 Aug 2025 Job Information Organisation/Company IMT MINES ALES Research Field Computer science » Informatics Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage Researcher (R1) Established Researcher (R3) Country France Application Deadline 28 Sep 2025 - 22:00...
-
when a change occurs either at the level of the sensor or the calculator. Such a system has thus extremely low power consumption if the activity is null. An illustration of this concept is the event
-
and adapted tools for the processing of signals or images acquired with biomedical sensor networks (cardiology, neurosciences) or in geosciences (seismology and marine ecology), but also in wireless
-
for experiments below the MHz to detect the current fluctuations. We propose for the internship to use our newly developed ultrasensitive TMR-based (Tunnel Magnetoresistance) magnetic field sensor to detect
-
- Design pilot and data collection of MEEG and behavioral experiments with Psychtoolbox, JsPsych, Pavlovia - Univarate and multivariete analysis (RSA, encoding and decoding models) of MEEG data at sensor and
-
sensors and power electronics [1]. With recent advances in diamond synthesis techniques, new opportunities have emerged for quantum-scale applications, including in high-pressure and biomedical physics
-
on supervised learning using ground truth aligned with frame-based sensors, which inherently limits their temporal precision. Meanwhile, self-supervised methods—such as those based on contrast maximization—remain
-
obtained from multi-sensor networks across urban areas. A novel synergy approach will be developed that combines observations of thermal stratification from microwave radiometers, profiles of wind and